diff --git a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/README.md b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/README.md
index 6143b69b..e22fdfe7 100644
--- a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/README.md
+++ b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/README.md
@@ -1,3 +1,3 @@
 | Model         | Scenario   | Accuracy                           |   Throughput | Latency (in ms)   |
 |---------------|------------|------------------------------------|--------------|-------------------|
-| llama2-70b-99 | offline    | (61.7021, 37.9679, 39.3617, 610.0) |        0.362 | -                 |
\ No newline at end of file
+| llama2-70b-99 | offline    | (61.7021, 37.9679, 39.3617, 610.0) |         0.43 | -                 |
\ No newline at end of file
diff --git a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/README.md b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/README.md
index c1364265..2d5f7cea 100644
--- a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/README.md
+++ b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/README.md
@@ -16,7 +16,7 @@ pip install -U cmind
 
 cm rm cache -f
 
-cm pull repo gateoverflow@mlperf-automations --checkout=ee7be856e5def9e46bc4535b6128ec342f6931db
+cm pull repo gateoverflow@mlperf-automations --checkout=0b0073c83f137dabd0f2abb0866cf1a7193c8100
 
 cm run script \
 	--tags=app,mlperf,inference,generic,_reference,_llama2-70b-99,_pytorch,_cpu,_test,_r5.0-dev_default,_bfloat16,_offline \
@@ -107,4 +107,4 @@ Model Precision: fp32
 `TOKENS_PER_SAMPLE`: `610.0`, Required accuracy for closed division `>= 265.005` and `<= 323.895`
 
 ### Performance Results 
-`Samples per second`: `0.362211`
+`Samples per second`: `0.43025`
diff --git a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/accuracy_console.out b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/accuracy_console.out
index 8572b60b..e118aa16 100644
--- a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/accuracy_console.out
+++ b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/accuracy_console.out
@@ -1,7 +1,7 @@
 INFO:datasets:PyTorch version 2.5.1+cpu available.
 Loading dataset...
 Finished loading dataset.
-
Loading checkpoint shards:   0%|          | 0/15 [00:00<?, ?it/s]
Loading checkpoint shards:   7%|▋         | 1/15 [00:01<00:27,  2.00s/it]
Loading checkpoint shards:  13%|█▎        | 2/15 [00:04<00:26,  2.01s/it]
Loading checkpoint shards:  20%|██        | 3/15 [00:05<00:23,  1.98s/it]
Loading checkpoint shards:  27%|██▋       | 4/15 [00:07<00:20,  1.90s/it]
Loading checkpoint shards:  33%|███▎      | 5/15 [00:09<00:18,  1.86s/it]
Loading checkpoint shards:  40%|████      | 6/15 [00:11<00:16,  1.83s/it]
Loading checkpoint shards:  47%|████▋     | 7/15 [00:13<00:14,  1.81s/it]
Loading checkpoint shards:  53%|█████▎    | 8/15 [00:15<00:13,  1.92s/it]
Loading checkpoint shards:  60%|██████    | 9/15 [00:17<00:11,  1.93s/it]
Loading checkpoint shards:  67%|██████▋   | 10/15 [00:19<00:10,  2.04s/it]
Loading checkpoint shards:  73%|███████▎  | 11/15 [00:21<00:08,  2.10s/it]
Loading checkpoint shards:  80%|████████  | 12/15 [00:23<00:06,  2.10s/it]
Loading checkpoint shards:  87%|████████▋ | 13/15 [00:25<00:04,  2.02s/it]
Loading checkpoint shards:  93%|█████████▎| 14/15 [00:31<00:03,  3.04s/it]
Loading checkpoint shards: 100%|██████████| 15/15 [00:31<00:00,  2.20s/it]
Loading checkpoint shards: 100%|██████████| 15/15 [00:31<00:00,  2.08s/it]
+
Loading checkpoint shards:   0%|          | 0/15 [00:00<?, ?it/s]
Loading checkpoint shards:   7%|▋         | 1/15 [00:02<00:28,  2.01s/it]
Loading checkpoint shards:  13%|█▎        | 2/15 [00:03<00:25,  1.97s/it]
Loading checkpoint shards:  20%|██        | 3/15 [00:05<00:23,  1.94s/it]
Loading checkpoint shards:  27%|██▋       | 4/15 [00:07<00:20,  1.89s/it]
Loading checkpoint shards:  33%|███▎      | 5/15 [00:09<00:18,  1.84s/it]
Loading checkpoint shards:  40%|████      | 6/15 [00:11<00:16,  1.82s/it]
Loading checkpoint shards:  47%|████▋     | 7/15 [00:12<00:14,  1.81s/it]
Loading checkpoint shards:  53%|█████▎    | 8/15 [00:15<00:14,  2.00s/it]
Loading checkpoint shards:  60%|██████    | 9/15 [00:17<00:12,  2.03s/it]
Loading checkpoint shards:  67%|██████▋   | 10/15 [00:19<00:10,  2.01s/it]
Loading checkpoint shards:  73%|███████▎  | 11/15 [00:21<00:07,  1.98s/it]
Loading checkpoint shards:  80%|████████  | 12/15 [00:23<00:05,  1.93s/it]
Loading checkpoint shards:  87%|████████▋ | 13/15 [00:25<00:03,  1.95s/it]
Loading checkpoint shards:  93%|█████████▎| 14/15 [00:29<00:02,  2.78s/it]
Loading checkpoint shards: 100%|██████████| 15/15 [00:30<00:00,  2.02s/it]
Loading checkpoint shards: 100%|██████████| 15/15 [00:30<00:00,  2.01s/it]
 INFO:Llama-70B-MAIN:Starting Benchmark run
 /home/cmuser/venv/cm/lib/python3.10/site-packages/transformers/generation/configuration_utils.py:628: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `0.6` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.
   warnings.warn(
@@ -22,7 +22,7 @@ IssueQuery started with 1 samples
 IssueQuery done
 Saving outputs to run_outputs/q0.pkl
 Samples run: 1
-	BatchMaker time: 0.015237092971801758
-	Inference time: 789.5984785556793
-	Postprocess time: 0.07323002815246582
-	==== Total time: 789.6869456768036
+	BatchMaker time: 0.008818864822387695
+	Inference time: 837.1090745925903
+	Postprocess time: 0.026335716247558594
+	==== Total time: 837.1442291736603
diff --git a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/cm-deps.mmd b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/cm-deps.mmd
index 8f8aeccb..44b9854f 100644
--- a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/cm-deps.mmd
+++ b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/cm-deps.mmd
@@ -13,15 +13,15 @@ graph TD
     get-mlperf-inference-src,4b57186581024797 --> get,git,repo,_branch.master,_repo.https://github.com/mlcommons/inference
     get-mlperf-inference-utils,e341e5f86d8342e5 --> get,mlperf,inference,src
     app-mlperf-inference,d775cac873ee4231_(_reference,_llama2-70b-99,_pytorch,_cpu,_test,_r5.0-dev_default,_bfloat16,_offline_) --> get,mlperf,inference,utils
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> detect,os
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> detect,os
     detect-cpu,586c8a43320142f7 --> detect,os
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> detect,cpu
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,sys-utils-cm
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,python
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> detect,cpu
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,sys-utils-cm
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,python
     get-generic-python-lib,94b62a682bc44791_(_torch_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,generic-python-lib,_torch
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,generic-python-lib,_torch
     get-generic-python-lib,94b62a682bc44791_(_torchvision_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,generic-python-lib,_torchvision
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,generic-python-lib,_torchvision
     get-ml-model-huggingface-zoo,53cf8252a443446a_(_clone-repo,_model-stub.meta-llama/Llama-2-70b-chat-hf_) --> get,python3
     get-generic-python-lib,94b62a682bc44791_(_huggingface_hub_) --> detect,os
     detect-cpu,586c8a43320142f7 --> detect,os
@@ -32,7 +32,7 @@ graph TD
     get-ml-model-huggingface-zoo,53cf8252a443446a_(_clone-repo,_model-stub.meta-llama/Llama-2-70b-chat-hf_) --> get,generic-python-lib,_huggingface_hub
     get-ml-model-huggingface-zoo,53cf8252a443446a_(_clone-repo,_model-stub.meta-llama/Llama-2-70b-chat-hf_) --> get,git,repo,_lfs,_repo.https://huggingface.co/meta-llama/Llama-2-70b-chat-hf
     get-ml-model-llama2,5db97be9f61244c6_(_pytorch_) --> get,ml-model,huggingface,zoo,_clone-repo,_model-stub.meta-llama/Llama-2-70b-chat-hf
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,ml-model,llama2,raw,_pytorch
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,ml-model,llama2,raw,_pytorch
     get-preprocessed-dataset-openorca,5614c39cb1564d72_(_validation,_mlcommons_) --> get,sys-utils-cm
     get-preprocessed-dataset-openorca,5614c39cb1564d72_(_validation,_mlcommons_) --> get,python3
     get-generic-python-lib,94b62a682bc44791_(_package.pyarrow_) --> get,python3
@@ -42,7 +42,7 @@ graph TD
     get-generic-python-lib,94b62a682bc44791_(_package.transformers_) --> get,python3
     get-preprocessed-dataset-openorca,5614c39cb1564d72_(_validation,_mlcommons_) --> get,generic-python-lib,_package.transformers
     get-preprocessed-dataset-openorca,5614c39cb1564d72_(_validation,_mlcommons_) --> download-and-extract,_rclone,_url.mlc-inference:mlcommons-inference-wg-public/open_orca
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,preprocessed,dataset,openorca,_validation,_mlcommons
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,preprocessed,dataset,openorca,_validation,_mlcommons
     generate-mlperf-inference-user-conf,3af4475745964b93 --> detect,os
     detect-cpu,586c8a43320142f7 --> detect,os
     generate-mlperf-inference-user-conf,3af4475745964b93 --> detect,cpu
@@ -53,40 +53,40 @@ graph TD
     generate-mlperf-inference-user-conf,3af4475745964b93 --> get,mlcommons,inference,src
     get-mlperf-inference-sut-configs,c2fbf72009e2445b --> get,cache,dir,_name.mlperf-inference-sut-configs
     generate-mlperf-inference-user-conf,3af4475745964b93 --> get,sut,configs
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> generate,user-conf,mlperf,inference
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,loadgen
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> generate,user-conf,mlperf,inference
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,loadgen
     get-mlperf-inference-src,4b57186581024797 --> detect,os
     get-mlperf-inference-src,4b57186581024797 --> get,python3
     get-mlperf-inference-src,4b57186581024797 --> get,git,repo,_branch.master,_repo.https://github.com/mlcommons/inference
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,mlcommons,inference,src
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,mlcommons,inference,src
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,mlcommons,inference,src
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,mlcommons,inference,src
     get-generic-python-lib,94b62a682bc44791_(_package.psutil_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,generic-python-lib,_package.psutil
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,generic-python-lib,_package.psutil
     get-generic-python-lib,94b62a682bc44791_(_package.transformers_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,generic-python-lib,_package.transformers
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,generic-python-lib,_package.transformers
     get-generic-python-lib,94b62a682bc44791_(_package.datasets_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,generic-python-lib,_package.datasets
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,generic-python-lib,_package.datasets
     get-generic-python-lib,94b62a682bc44791_(_package.sentencepiece_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,generic-python-lib,_package.sentencepiece
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,generic-python-lib,_package.sentencepiece
     get-generic-python-lib,94b62a682bc44791_(_package.protobuf_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,generic-python-lib,_package.protobuf
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,generic-python-lib,_package.protobuf
     get-generic-python-lib,94b62a682bc44791_(_package.accelerate_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,generic-python-lib,_package.accelerate
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,generic-python-lib,_package.accelerate
     get-generic-python-lib,94b62a682bc44791_(_package.absl-py_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,generic-python-lib,_package.absl-py
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,generic-python-lib,_package.absl-py
     get-generic-python-lib,94b62a682bc44791_(_package.evaluate_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,generic-python-lib,_package.evaluate
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,generic-python-lib,_package.evaluate
     get-generic-python-lib,94b62a682bc44791_(_package.nltk_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,generic-python-lib,_package.nltk
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,generic-python-lib,_package.nltk
     get-generic-python-lib,94b62a682bc44791_(_package.numpy_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,generic-python-lib,_package.numpy
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,generic-python-lib,_package.numpy
     get-generic-python-lib,94b62a682bc44791_(_package.rouge-score_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,generic-python-lib,_package.rouge-score
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,generic-python-lib,_package.rouge-score
     get-generic-python-lib,94b62a682bc44791_(_package.more-itertools_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,generic-python-lib,_package.more-itertools
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,generic-python-lib,_package.more-itertools
     get-generic-python-lib,94b62a682bc44791_(_package.compressed_tensors_) --> get,python3
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> get,generic-python-lib,_package.compressed_tensors
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> get,generic-python-lib,_package.compressed_tensors
     detect-cpu,586c8a43320142f7 --> detect,os
     benchmark-program,19f369ef47084895 --> detect,cpu
     benchmark-program-mlperf,cfff0132a8aa4018 --> benchmark-program,program
-    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16_) --> benchmark-mlperf
\ No newline at end of file
+    app-mlperf-inference-mlcommons-python,ff149e9781fc4b65_(_pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16_) --> benchmark-mlperf
\ No newline at end of file
diff --git a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/cm-deps.png b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/cm-deps.png
index 8bac215f..44afb13b 100644
Binary files a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/cm-deps.png and b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/cm-deps.png differ
diff --git a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/cm-version-info.json b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/cm-version-info.json
index 283c5320..d3492886 100644
--- a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/cm-version-info.json
+++ b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/cm-version-info.json
@@ -147,7 +147,7 @@
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
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@@ -167,7 +167,7 @@
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
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@@ -177,7 +177,7 @@
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
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@@ -187,7 +187,7 @@
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
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@@ -207,7 +207,7 @@
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
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@@ -227,7 +227,7 @@
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
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@@ -337,7 +337,7 @@
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         "version": "",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
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@@ -437,7 +437,7 @@
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
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@@ -547,7 +547,7 @@
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
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@@ -557,7 +557,7 @@
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
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@@ -597,7 +597,7 @@
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
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@@ -607,7 +607,7 @@
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
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@@ -627,7 +627,7 @@
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
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@@ -647,7 +647,7 @@
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
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     },
     {
@@ -667,7 +667,7 @@
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
       }
     },
     {
@@ -687,7 +687,7 @@
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         "script_variations": "package.sentencepiece",
         "version": "0.2.0",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
       }
     },
     {
@@ -707,7 +707,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.protobuf",
         "version": "5.29.2",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
       }
     },
     {
@@ -727,7 +727,7 @@
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         "script_variations": "package.accelerate",
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
       }
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@@ -747,7 +747,7 @@
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         "script_variations": "package.absl-py",
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-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
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@@ -767,7 +767,7 @@
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         "script_variations": "package.evaluate",
         "version": "0.4.3",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
       }
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     {
@@ -787,7 +787,7 @@
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         "script_variations": "package.nltk",
         "version": "3.8.1",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
       }
     },
     {
@@ -807,7 +807,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.numpy",
         "version": "1.26.4",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
       }
     },
     {
@@ -827,7 +827,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.rouge-score",
         "version": "0.1.2",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
       }
     },
     {
@@ -847,7 +847,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.more-itertools",
         "version": "10.5.0",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
       }
     },
     {
@@ -867,7 +867,7 @@
         "script_tags": "get,install,generic,pip-package,generic-python-lib",
         "script_variations": "package.compressed_tensors",
         "version": "0.8.1",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
       }
     },
     {
@@ -907,7 +907,7 @@
         "script_tags": "mlperf,benchmark-mlperf",
         "script_variations": "",
         "version": "",
-        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_llama2-70b-99,_cpu,_bfloat16 )"
+        "parent": "app-mlperf-inference-mlcommons-python,ff149e9781fc4b65 ( pytorch,_offline,_cpu,_llama2-70b-99,_bfloat16 )"
       }
     }
   ]
diff --git a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/os_info.json b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/os_info.json
index 4afcbca6..0b94d33a 100644
--- a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/os_info.json
+++ b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/os_info.json
@@ -26,5 +26,5 @@
   ],
   "CM_HOST_PLATFORM_FLAVOR": "x86_64",
   "CM_HOST_PYTHON_BITS": "64",
-  "CM_HOST_SYSTEM_NAME": "c9e0515cf4fd"
+  "CM_HOST_SYSTEM_NAME": "62ad37f3b3fb"
 }
\ No newline at end of file
diff --git a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/performance_console.out b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/performance_console.out
index d70bc59b..1f9c6de5 100644
--- a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/performance_console.out
+++ b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/performance_console.out
@@ -1,7 +1,7 @@
 INFO:datasets:PyTorch version 2.5.1+cpu available.
 Loading dataset...
 Finished loading dataset.
-
Loading checkpoint shards:   0%|          | 0/15 [00:00<?, ?it/s]
Loading checkpoint shards:   7%|▋         | 1/15 [00:02<00:29,  2.12s/it]
Loading checkpoint shards:  13%|█▎        | 2/15 [00:04<00:26,  2.01s/it]
Loading checkpoint shards:  20%|██        | 3/15 [00:05<00:23,  1.94s/it]
Loading checkpoint shards:  27%|██▋       | 4/15 [00:07<00:20,  1.89s/it]
Loading checkpoint shards:  33%|███▎      | 5/15 [00:09<00:18,  1.84s/it]
Loading checkpoint shards:  40%|████      | 6/15 [00:11<00:16,  1.89s/it]
Loading checkpoint shards:  47%|████▋     | 7/15 [00:13<00:15,  1.93s/it]
Loading checkpoint shards:  53%|█████▎    | 8/15 [00:15<00:14,  2.02s/it]
Loading checkpoint shards:  60%|██████    | 9/15 [00:17<00:12,  2.04s/it]
Loading checkpoint shards:  67%|██████▋   | 10/15 [00:19<00:10,  2.06s/it]
Loading checkpoint shards:  73%|███████▎  | 11/15 [00:21<00:08,  2.03s/it]
Loading checkpoint shards:  80%|████████  | 12/15 [00:23<00:05,  1.96s/it]
Loading checkpoint shards:  87%|████████▋ | 13/15 [00:25<00:03,  1.98s/it]
Loading checkpoint shards:  93%|█████████▎| 14/15 [00:27<00:02,  2.07s/it]
Loading checkpoint shards: 100%|██████████| 15/15 [00:28<00:00,  1.64s/it]
Loading checkpoint shards: 100%|██████████| 15/15 [00:28<00:00,  1.90s/it]
+
Loading checkpoint shards:   0%|          | 0/15 [00:00<?, ?it/s]
Loading checkpoint shards:   7%|▋         | 1/15 [00:02<00:28,  2.02s/it]
Loading checkpoint shards:  13%|█▎        | 2/15 [00:03<00:25,  1.99s/it]
Loading checkpoint shards:  20%|██        | 3/15 [00:05<00:23,  1.92s/it]
Loading checkpoint shards:  27%|██▋       | 4/15 [00:07<00:20,  1.90s/it]
Loading checkpoint shards:  33%|███▎      | 5/15 [00:09<00:18,  1.86s/it]
Loading checkpoint shards:  40%|████      | 6/15 [00:11<00:16,  1.88s/it]
Loading checkpoint shards:  47%|████▋     | 7/15 [00:13<00:15,  1.91s/it]
Loading checkpoint shards:  53%|█████▎    | 8/15 [00:15<00:13,  1.91s/it]
Loading checkpoint shards:  60%|██████    | 9/15 [00:17<00:11,  1.95s/it]
Loading checkpoint shards:  67%|██████▋   | 10/15 [00:19<00:10,  2.13s/it]
Loading checkpoint shards:  73%|███████▎  | 11/15 [00:22<00:08,  2.14s/it]
Loading checkpoint shards:  80%|████████  | 12/15 [00:23<00:06,  2.05s/it]
Loading checkpoint shards:  87%|████████▋ | 13/15 [00:28<00:05,  2.83s/it]
Loading checkpoint shards:  93%|█████████▎| 14/15 [00:30<00:02,  2.68s/it]
Loading checkpoint shards: 100%|██████████| 15/15 [00:31<00:00,  1.93s/it]
Loading checkpoint shards: 100%|██████████| 15/15 [00:31<00:00,  2.07s/it]
 INFO:Llama-70B-MAIN:Starting Benchmark run
 /home/cmuser/venv/cm/lib/python3.10/site-packages/transformers/generation/configuration_utils.py:628: UserWarning: `do_sample` is set to `False`. However, `temperature` is set to `0.6` -- this flag is only used in sample-based generation modes. You should set `do_sample=True` or unset `temperature`.
   warnings.warn(
@@ -15,8 +15,8 @@ MLPerf Results Summary
 SUT name : PySUT
 Scenario : Offline
 Mode     : PerformanceOnly
-Samples per second: 0.00118758
-Tokens per second: 0.362211
+Samples per second: 0.00141066
+Tokens per second: 0.43025
 Result is : VALID
   Min duration satisfied : Yes
   Min queries satisfied : Yes
@@ -25,15 +25,15 @@ Result is : VALID
 ================================================
 Additional Stats
 ================================================
-Min latency (ns)                : 842050998701
-Max latency (ns)                : 842050998701
-Mean latency (ns)               : 842050998701
-50.00 percentile latency (ns)   : 842050998701
-90.00 percentile latency (ns)   : 842050998701
-95.00 percentile latency (ns)   : 842050998701
-97.00 percentile latency (ns)   : 842050998701
-99.00 percentile latency (ns)   : 842050998701
-99.90 percentile latency (ns)   : 842050998701
+Min latency (ns)                : 708890155028
+Max latency (ns)                : 708890155028
+Mean latency (ns)               : 708890155028
+50.00 percentile latency (ns)   : 708890155028
+90.00 percentile latency (ns)   : 708890155028
+95.00 percentile latency (ns)   : 708890155028
+97.00 percentile latency (ns)   : 708890155028
+99.00 percentile latency (ns)   : 708890155028
+99.90 percentile latency (ns)   : 708890155028
 
 
 ================================================
@@ -72,7 +72,7 @@ IssueQuery started with 1 samples
 IssueQuery done
 Saving outputs to run_outputs/q0.pkl
 Samples run: 1
-	BatchMaker time: 0.010910749435424805
-	Inference time: 842.0127980709076
-	Postprocess time: 0.027092456817626953
-	==== Total time: 842.0508012771606
+	BatchMaker time: 0.010565042495727539
+	Inference time: 708.8143558502197
+	Postprocess time: 0.06503033638000488
+	==== Total time: 708.8899512290955
diff --git a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/system_info.txt b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/system_info.txt
index bead42a6..24a8c79b 100644
--- a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/system_info.txt
+++ b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/system_info.txt
@@ -2,10 +2,10 @@ Platform Details
 
 ------------------------------------------------------------
 1. uname -a
-Linux c9e0515cf4fd 6.8.0-49-generic #49-Ubuntu SMP PREEMPT_DYNAMIC Mon Nov  4 02:06:24 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
+Linux 62ad37f3b3fb 6.8.0-49-generic #49-Ubuntu SMP PREEMPT_DYNAMIC Mon Nov  4 02:06:24 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
 ------------------------------------------------------------
 2. w
- 05:28:56 up 28 days, 15:47,  0 users,  load average: 13.85, 20.29, 14.00
+ 05:26:19 up 29 days, 15:44,  0 users,  load average: 13.79, 19.67, 12.71
 USER     TTY      FROM             LOGIN@   IDLE   JCPU   PCPU WHAT
 ------------------------------------------------------------
 3. Username
@@ -41,7 +41,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 799.713
+cpu MHz		: 871.130
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -69,7 +69,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 3000.000
+cpu MHz		: 2296.572
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -125,7 +125,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 1909.973
+cpu MHz		: 799.099
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -153,7 +153,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.016
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -181,7 +181,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 800.243
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -209,7 +209,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 1803.913
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -237,7 +237,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 801.629
+cpu MHz		: 4000.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -265,7 +265,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 810.659
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -405,7 +405,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 900.000
+cpu MHz		: 1098.537
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -433,7 +433,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 900.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -629,7 +629,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 801.061
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -657,7 +657,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 800.753
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -685,7 +685,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 798.997
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -713,7 +713,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 865.124
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -825,7 +825,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 800.102
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -853,7 +853,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 3147.405
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -909,7 +909,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 3000.000
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -937,7 +937,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 2400.000
+cpu MHz		: 3298.518
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -965,7 +965,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 4279.148
+cpu MHz		: 1288.503
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1161,7 +1161,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 800.674
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1189,7 +1189,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 797.398
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1424,49 +1424,49 @@ Vulnerability Tsx async abort:        Not affected
 available: 1 nodes (0)
 node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
 node 0 size: 192709 MB
-node 0 free: 133847 MB
+node 0 free: 133995 MB
 node distances:
 node   0 
   0:  10 
 ------------------------------------------------------------
 9. /proc/meminfo
 MemTotal:       197334532 kB
-MemFree:        137059964 kB
-MemAvailable:   193272732 kB
-Buffers:           26404 kB
-Cached:         57122592 kB
-SwapCached:       150608 kB
-Active:         11178300 kB
-Inactive:       46374408 kB
-Active(anon):     192016 kB
-Inactive(anon):   235004 kB
-Active(file):   10986284 kB
-Inactive(file): 46139404 kB
+MemFree:        137211456 kB
+MemAvailable:   193213668 kB
+Buffers:           29788 kB
+Cached:         56881036 kB
+SwapCached:       139208 kB
+Active:         40911272 kB
+Inactive:       16448308 kB
+Active(anon):     294464 kB
+Inactive(anon):   178444 kB
+Active(file):   40616808 kB
+Inactive(file): 16269864 kB
 Unevictable:        3088 kB
 Mlocked:               0 kB
 SwapTotal:       8388604 kB
-SwapFree:        7572312 kB
+SwapFree:        7595168 kB
 Zswap:                 0 kB
 Zswapped:              0 kB
-Dirty:             42760 kB
+Dirty:             42472 kB
 Writeback:             0 kB
-AnonPages:        391380 kB
-Mapped:           186252 kB
-Shmem:             23308 kB
-KReclaimable:     859376 kB
-Slab:            1586032 kB
-SReclaimable:     859376 kB
-SUnreclaim:       726656 kB
-KernelStack:       24688 kB
-PageTables:        26744 kB
+AnonPages:        426724 kB
+Mapped:           199028 kB
+Shmem:             24124 kB
+KReclaimable:     887836 kB
+Slab:            1631052 kB
+SReclaimable:     887836 kB
+SUnreclaim:       743216 kB
+KernelStack:       25728 kB
+PageTables:        28040 kB
 SecPageTables:         0 kB
 NFS_Unstable:          0 kB
 Bounce:                0 kB
 WritebackTmp:          0 kB
 CommitLimit:    107055868 kB
-Committed_AS:    6881664 kB
+Committed_AS:    7116188 kB
 VmallocTotal:   13743895347199 kB
-VmallocUsed:      165204 kB
+VmallocUsed:      166328 kB
 VmallocChunk:          0 kB
 Percpu:           170496 kB
 HardwareCorrupted:     0 kB
@@ -1482,8 +1482,8 @@ HugePages_Rsvd:        0
 HugePages_Surp:        0
 Hugepagesize:       2048 kB
 Hugetlb:               0 kB
-DirectMap4k:    62654052 kB
-DirectMap2M:    135006208 kB
+DirectMap4k:    63123044 kB
+DirectMap2M:    134537216 kB
 DirectMap1G:     5242880 kB
 ------------------------------------------------------------
 10. who -r
@@ -1698,18 +1698,18 @@ systemd-tmpfiles-clean.timer           static   -
 BOOT_IMAGE=/boot/vmlinuz-6.8.0-49-generic root=UUID=cd1dd39e-4e7b-4be5-8864-c6790fa67706 ro quiet splash vt.handoff=7
 ------------------------------------------------------------
 14. cpupower frequency-info
-analyzing CPU 4:
+analyzing CPU 13:
   driver: intel_pstate
-  CPUs which run at the same hardware frequency: 4
-  CPUs which need to have their frequency coordinated by software: 4
+  CPUs which run at the same hardware frequency: 13
+  CPUs which need to have their frequency coordinated by software: 13
   maximum transition latency:  Cannot determine or is not supported.
-  hardware limits: 800 MHz - 4.60 GHz
+  hardware limits: 800 MHz - 4.80 GHz
   available cpufreq governors: performance powersave
-  current policy: frequency should be within 800 MHz and 4.60 GHz.
+  current policy: frequency should be within 800 MHz and 4.80 GHz.
                   The governor "powersave" may decide which speed to use
                   within this range.
   current CPU frequency: Unable to call hardware
-  current CPU frequency: 4.27 GHz (asserted by call to kernel)
+  current CPU frequency: 4.39 GHz (asserted by call to kernel)
   boost state support:
     Supported: yes
     Active: yes
@@ -1760,16 +1760,16 @@ dev.tty.ldisc_autoload = 1
 dev.tty.legacy_tiocsti = 0
 fs.aio-max-nr = 65536
 fs.aio-nr = 0
-fs.dentry-state = 172300	128222	45	0	58552	0
+fs.dentry-state = 393945	339587	45	0	215054	0
 fs.dir-notify-enable = 1
 fs.epoll.max_user_watches = 43912503
 fs.fanotify.max_queued_events = 16384
 fs.fanotify.max_user_groups = 128
 fs.fanotify.max_user_marks = 1048576
 fs.file-max = 9223372036854775807
-fs.file-nr = 7520	0	9223372036854775807
-fs.inode-nr = 164630	47826
-fs.inode-state = 164630	47826	0	0	0	0	0
+fs.file-nr = 7424	0	9223372036854775807
+fs.inode-nr = 232263	60455
+fs.inode-state = 232263	60455	0	0	0	0	0
 fs.inotify.max_queued_events = 16384
 fs.inotify.max_user_instances = 128
 fs.inotify.max_user_watches = 65536
@@ -1797,7 +1797,7 @@ fs.quota.drops = 0
 fs.quota.free_dquots = 0
 fs.quota.lookups = 0
 fs.quota.reads = 0
-fs.quota.syncs = 2816
+fs.quota.syncs = 2892
 fs.quota.writes = 0
 fs.suid_dumpable = 2
 fs.verity.require_signatures = 0
@@ -1824,7 +1824,7 @@ kernel.ftrace_dump_on_oops = 0
 kernel.ftrace_enabled = 1
 kernel.hardlockup_all_cpu_backtrace = 0
 kernel.hardlockup_panic = 0
-kernel.hostname = c9e0515cf4fd
+kernel.hostname = 62ad37f3b3fb
 kernel.hotplug = 
 kernel.hung_task_all_cpu_backtrace = 0
 kernel.hung_task_check_count = 4194304
@@ -1856,7 +1856,7 @@ kernel.msgmnb = 16384
 kernel.msgmni = 32000
 kernel.ngroups_max = 65536
 kernel.nmi_watchdog = 1
-kernel.ns_last_pid = 2718
+kernel.ns_last_pid = 2717
 kernel.numa_balancing = 0
 kernel.numa_balancing_promote_rate_limit_MBps = 65536
 kernel.oops_all_cpu_backtrace = 0
@@ -1887,13 +1887,13 @@ kernel.printk_devkmsg = on
 kernel.printk_ratelimit = 5
 kernel.printk_ratelimit_burst = 10
 kernel.pty.max = 4096
-kernel.pty.nr = 39
+kernel.pty.nr = 44
 kernel.pty.reserve = 1024
 kernel.random.boot_id = 29685405-01e1-41c8-8cf0-dcaddcc1862c
 kernel.random.entropy_avail = 256
 kernel.random.poolsize = 256
 kernel.random.urandom_min_reseed_secs = 60
-kernel.random.uuid = 1f73e348-32b9-4d99-9bbf-82cd99c3921f
+kernel.random.uuid = da8f1825-2c92-4a82-86ab-8f6ba7b54b4e
 kernel.random.write_wakeup_threshold = 256
 kernel.randomize_va_space = 2
 kernel.real-root-dev = 0
diff --git a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/system_info.txt b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/system_info.txt
index bead42a6..24a8c79b 100644
--- a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/system_info.txt
+++ b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/system_info.txt
@@ -2,10 +2,10 @@ Platform Details
 
 ------------------------------------------------------------
 1. uname -a
-Linux c9e0515cf4fd 6.8.0-49-generic #49-Ubuntu SMP PREEMPT_DYNAMIC Mon Nov  4 02:06:24 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
+Linux 62ad37f3b3fb 6.8.0-49-generic #49-Ubuntu SMP PREEMPT_DYNAMIC Mon Nov  4 02:06:24 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
 ------------------------------------------------------------
 2. w
- 05:28:56 up 28 days, 15:47,  0 users,  load average: 13.85, 20.29, 14.00
+ 05:26:19 up 29 days, 15:44,  0 users,  load average: 13.79, 19.67, 12.71
 USER     TTY      FROM             LOGIN@   IDLE   JCPU   PCPU WHAT
 ------------------------------------------------------------
 3. Username
@@ -41,7 +41,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 799.713
+cpu MHz		: 871.130
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -69,7 +69,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 3000.000
+cpu MHz		: 2296.572
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -125,7 +125,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 1909.973
+cpu MHz		: 799.099
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -153,7 +153,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.016
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -181,7 +181,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 800.243
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -209,7 +209,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 1803.913
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -237,7 +237,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 801.629
+cpu MHz		: 4000.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -265,7 +265,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 810.659
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -405,7 +405,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 900.000
+cpu MHz		: 1098.537
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -433,7 +433,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 900.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -629,7 +629,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 801.061
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -657,7 +657,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 800.753
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -685,7 +685,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 798.997
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -713,7 +713,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 865.124
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -825,7 +825,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 800.102
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -853,7 +853,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 3147.405
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -909,7 +909,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 3000.000
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -937,7 +937,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 2400.000
+cpu MHz		: 3298.518
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -965,7 +965,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 4279.148
+cpu MHz		: 1288.503
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1161,7 +1161,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 800.674
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1189,7 +1189,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 797.398
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1424,49 +1424,49 @@ Vulnerability Tsx async abort:        Not affected
 available: 1 nodes (0)
 node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
 node 0 size: 192709 MB
-node 0 free: 133847 MB
+node 0 free: 133995 MB
 node distances:
 node   0 
   0:  10 
 ------------------------------------------------------------
 9. /proc/meminfo
 MemTotal:       197334532 kB
-MemFree:        137059964 kB
-MemAvailable:   193272732 kB
-Buffers:           26404 kB
-Cached:         57122592 kB
-SwapCached:       150608 kB
-Active:         11178300 kB
-Inactive:       46374408 kB
-Active(anon):     192016 kB
-Inactive(anon):   235004 kB
-Active(file):   10986284 kB
-Inactive(file): 46139404 kB
+MemFree:        137211456 kB
+MemAvailable:   193213668 kB
+Buffers:           29788 kB
+Cached:         56881036 kB
+SwapCached:       139208 kB
+Active:         40911272 kB
+Inactive:       16448308 kB
+Active(anon):     294464 kB
+Inactive(anon):   178444 kB
+Active(file):   40616808 kB
+Inactive(file): 16269864 kB
 Unevictable:        3088 kB
 Mlocked:               0 kB
 SwapTotal:       8388604 kB
-SwapFree:        7572312 kB
+SwapFree:        7595168 kB
 Zswap:                 0 kB
 Zswapped:              0 kB
-Dirty:             42760 kB
+Dirty:             42472 kB
 Writeback:             0 kB
-AnonPages:        391380 kB
-Mapped:           186252 kB
-Shmem:             23308 kB
-KReclaimable:     859376 kB
-Slab:            1586032 kB
-SReclaimable:     859376 kB
-SUnreclaim:       726656 kB
-KernelStack:       24688 kB
-PageTables:        26744 kB
+AnonPages:        426724 kB
+Mapped:           199028 kB
+Shmem:             24124 kB
+KReclaimable:     887836 kB
+Slab:            1631052 kB
+SReclaimable:     887836 kB
+SUnreclaim:       743216 kB
+KernelStack:       25728 kB
+PageTables:        28040 kB
 SecPageTables:         0 kB
 NFS_Unstable:          0 kB
 Bounce:                0 kB
 WritebackTmp:          0 kB
 CommitLimit:    107055868 kB
-Committed_AS:    6881664 kB
+Committed_AS:    7116188 kB
 VmallocTotal:   13743895347199 kB
-VmallocUsed:      165204 kB
+VmallocUsed:      166328 kB
 VmallocChunk:          0 kB
 Percpu:           170496 kB
 HardwareCorrupted:     0 kB
@@ -1482,8 +1482,8 @@ HugePages_Rsvd:        0
 HugePages_Surp:        0
 Hugepagesize:       2048 kB
 Hugetlb:               0 kB
-DirectMap4k:    62654052 kB
-DirectMap2M:    135006208 kB
+DirectMap4k:    63123044 kB
+DirectMap2M:    134537216 kB
 DirectMap1G:     5242880 kB
 ------------------------------------------------------------
 10. who -r
@@ -1698,18 +1698,18 @@ systemd-tmpfiles-clean.timer           static   -
 BOOT_IMAGE=/boot/vmlinuz-6.8.0-49-generic root=UUID=cd1dd39e-4e7b-4be5-8864-c6790fa67706 ro quiet splash vt.handoff=7
 ------------------------------------------------------------
 14. cpupower frequency-info
-analyzing CPU 4:
+analyzing CPU 13:
   driver: intel_pstate
-  CPUs which run at the same hardware frequency: 4
-  CPUs which need to have their frequency coordinated by software: 4
+  CPUs which run at the same hardware frequency: 13
+  CPUs which need to have their frequency coordinated by software: 13
   maximum transition latency:  Cannot determine or is not supported.
-  hardware limits: 800 MHz - 4.60 GHz
+  hardware limits: 800 MHz - 4.80 GHz
   available cpufreq governors: performance powersave
-  current policy: frequency should be within 800 MHz and 4.60 GHz.
+  current policy: frequency should be within 800 MHz and 4.80 GHz.
                   The governor "powersave" may decide which speed to use
                   within this range.
   current CPU frequency: Unable to call hardware
-  current CPU frequency: 4.27 GHz (asserted by call to kernel)
+  current CPU frequency: 4.39 GHz (asserted by call to kernel)
   boost state support:
     Supported: yes
     Active: yes
@@ -1760,16 +1760,16 @@ dev.tty.ldisc_autoload = 1
 dev.tty.legacy_tiocsti = 0
 fs.aio-max-nr = 65536
 fs.aio-nr = 0
-fs.dentry-state = 172300	128222	45	0	58552	0
+fs.dentry-state = 393945	339587	45	0	215054	0
 fs.dir-notify-enable = 1
 fs.epoll.max_user_watches = 43912503
 fs.fanotify.max_queued_events = 16384
 fs.fanotify.max_user_groups = 128
 fs.fanotify.max_user_marks = 1048576
 fs.file-max = 9223372036854775807
-fs.file-nr = 7520	0	9223372036854775807
-fs.inode-nr = 164630	47826
-fs.inode-state = 164630	47826	0	0	0	0	0
+fs.file-nr = 7424	0	9223372036854775807
+fs.inode-nr = 232263	60455
+fs.inode-state = 232263	60455	0	0	0	0	0
 fs.inotify.max_queued_events = 16384
 fs.inotify.max_user_instances = 128
 fs.inotify.max_user_watches = 65536
@@ -1797,7 +1797,7 @@ fs.quota.drops = 0
 fs.quota.free_dquots = 0
 fs.quota.lookups = 0
 fs.quota.reads = 0
-fs.quota.syncs = 2816
+fs.quota.syncs = 2892
 fs.quota.writes = 0
 fs.suid_dumpable = 2
 fs.verity.require_signatures = 0
@@ -1824,7 +1824,7 @@ kernel.ftrace_dump_on_oops = 0
 kernel.ftrace_enabled = 1
 kernel.hardlockup_all_cpu_backtrace = 0
 kernel.hardlockup_panic = 0
-kernel.hostname = c9e0515cf4fd
+kernel.hostname = 62ad37f3b3fb
 kernel.hotplug = 
 kernel.hung_task_all_cpu_backtrace = 0
 kernel.hung_task_check_count = 4194304
@@ -1856,7 +1856,7 @@ kernel.msgmnb = 16384
 kernel.msgmni = 32000
 kernel.ngroups_max = 65536
 kernel.nmi_watchdog = 1
-kernel.ns_last_pid = 2718
+kernel.ns_last_pid = 2717
 kernel.numa_balancing = 0
 kernel.numa_balancing_promote_rate_limit_MBps = 65536
 kernel.oops_all_cpu_backtrace = 0
@@ -1887,13 +1887,13 @@ kernel.printk_devkmsg = on
 kernel.printk_ratelimit = 5
 kernel.printk_ratelimit_burst = 10
 kernel.pty.max = 4096
-kernel.pty.nr = 39
+kernel.pty.nr = 44
 kernel.pty.reserve = 1024
 kernel.random.boot_id = 29685405-01e1-41c8-8cf0-dcaddcc1862c
 kernel.random.entropy_avail = 256
 kernel.random.poolsize = 256
 kernel.random.urandom_min_reseed_secs = 60
-kernel.random.uuid = 1f73e348-32b9-4d99-9bbf-82cd99c3921f
+kernel.random.uuid = da8f1825-2c92-4a82-86ab-8f6ba7b54b4e
 kernel.random.write_wakeup_threshold = 256
 kernel.randomize_va_space = 2
 kernel.real-root-dev = 0
diff --git a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/system_info.txt b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/system_info.txt
index bead42a6..24a8c79b 100644
--- a/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/system_info.txt
+++ b/open/MLCommons/measurements/gh_action-reference-cpu-pytorch_v2.5.1-default_config/system_info.txt
@@ -2,10 +2,10 @@ Platform Details
 
 ------------------------------------------------------------
 1. uname -a
-Linux c9e0515cf4fd 6.8.0-49-generic #49-Ubuntu SMP PREEMPT_DYNAMIC Mon Nov  4 02:06:24 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
+Linux 62ad37f3b3fb 6.8.0-49-generic #49-Ubuntu SMP PREEMPT_DYNAMIC Mon Nov  4 02:06:24 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
 ------------------------------------------------------------
 2. w
- 05:28:56 up 28 days, 15:47,  0 users,  load average: 13.85, 20.29, 14.00
+ 05:26:19 up 29 days, 15:44,  0 users,  load average: 13.79, 19.67, 12.71
 USER     TTY      FROM             LOGIN@   IDLE   JCPU   PCPU WHAT
 ------------------------------------------------------------
 3. Username
@@ -41,7 +41,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 799.713
+cpu MHz		: 871.130
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -69,7 +69,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 3000.000
+cpu MHz		: 2296.572
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -125,7 +125,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 1909.973
+cpu MHz		: 799.099
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -153,7 +153,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.016
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -181,7 +181,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 800.243
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -209,7 +209,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 1803.913
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -237,7 +237,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 801.629
+cpu MHz		: 4000.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -265,7 +265,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 810.659
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -405,7 +405,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 900.000
+cpu MHz		: 1098.537
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -433,7 +433,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 900.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -629,7 +629,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 801.061
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -657,7 +657,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 800.753
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -685,7 +685,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 798.997
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -713,7 +713,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 865.124
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -825,7 +825,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 800.102
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -853,7 +853,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 3147.405
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -909,7 +909,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 3000.000
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -937,7 +937,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 2400.000
+cpu MHz		: 3298.518
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -965,7 +965,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 4279.148
+cpu MHz		: 1288.503
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1161,7 +1161,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 800.000
+cpu MHz		: 800.674
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1189,7 +1189,7 @@ model		: 143
 model name	: Intel(R) Xeon(R) w7-2495X
 stepping	: 8
 microcode	: 0x2b0005c0
-cpu MHz		: 797.398
+cpu MHz		: 800.000
 cache size	: 46080 KB
 physical id	: 0
 siblings	: 48
@@ -1424,49 +1424,49 @@ Vulnerability Tsx async abort:        Not affected
 available: 1 nodes (0)
 node 0 cpus: 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47
 node 0 size: 192709 MB
-node 0 free: 133847 MB
+node 0 free: 133995 MB
 node distances:
 node   0 
   0:  10 
 ------------------------------------------------------------
 9. /proc/meminfo
 MemTotal:       197334532 kB
-MemFree:        137059964 kB
-MemAvailable:   193272732 kB
-Buffers:           26404 kB
-Cached:         57122592 kB
-SwapCached:       150608 kB
-Active:         11178300 kB
-Inactive:       46374408 kB
-Active(anon):     192016 kB
-Inactive(anon):   235004 kB
-Active(file):   10986284 kB
-Inactive(file): 46139404 kB
+MemFree:        137211456 kB
+MemAvailable:   193213668 kB
+Buffers:           29788 kB
+Cached:         56881036 kB
+SwapCached:       139208 kB
+Active:         40911272 kB
+Inactive:       16448308 kB
+Active(anon):     294464 kB
+Inactive(anon):   178444 kB
+Active(file):   40616808 kB
+Inactive(file): 16269864 kB
 Unevictable:        3088 kB
 Mlocked:               0 kB
 SwapTotal:       8388604 kB
-SwapFree:        7572312 kB
+SwapFree:        7595168 kB
 Zswap:                 0 kB
 Zswapped:              0 kB
-Dirty:             42760 kB
+Dirty:             42472 kB
 Writeback:             0 kB
-AnonPages:        391380 kB
-Mapped:           186252 kB
-Shmem:             23308 kB
-KReclaimable:     859376 kB
-Slab:            1586032 kB
-SReclaimable:     859376 kB
-SUnreclaim:       726656 kB
-KernelStack:       24688 kB
-PageTables:        26744 kB
+AnonPages:        426724 kB
+Mapped:           199028 kB
+Shmem:             24124 kB
+KReclaimable:     887836 kB
+Slab:            1631052 kB
+SReclaimable:     887836 kB
+SUnreclaim:       743216 kB
+KernelStack:       25728 kB
+PageTables:        28040 kB
 SecPageTables:         0 kB
 NFS_Unstable:          0 kB
 Bounce:                0 kB
 WritebackTmp:          0 kB
 CommitLimit:    107055868 kB
-Committed_AS:    6881664 kB
+Committed_AS:    7116188 kB
 VmallocTotal:   13743895347199 kB
-VmallocUsed:      165204 kB
+VmallocUsed:      166328 kB
 VmallocChunk:          0 kB
 Percpu:           170496 kB
 HardwareCorrupted:     0 kB
@@ -1482,8 +1482,8 @@ HugePages_Rsvd:        0
 HugePages_Surp:        0
 Hugepagesize:       2048 kB
 Hugetlb:               0 kB
-DirectMap4k:    62654052 kB
-DirectMap2M:    135006208 kB
+DirectMap4k:    63123044 kB
+DirectMap2M:    134537216 kB
 DirectMap1G:     5242880 kB
 ------------------------------------------------------------
 10. who -r
@@ -1698,18 +1698,18 @@ systemd-tmpfiles-clean.timer           static   -
 BOOT_IMAGE=/boot/vmlinuz-6.8.0-49-generic root=UUID=cd1dd39e-4e7b-4be5-8864-c6790fa67706 ro quiet splash vt.handoff=7
 ------------------------------------------------------------
 14. cpupower frequency-info
-analyzing CPU 4:
+analyzing CPU 13:
   driver: intel_pstate
-  CPUs which run at the same hardware frequency: 4
-  CPUs which need to have their frequency coordinated by software: 4
+  CPUs which run at the same hardware frequency: 13
+  CPUs which need to have their frequency coordinated by software: 13
   maximum transition latency:  Cannot determine or is not supported.
-  hardware limits: 800 MHz - 4.60 GHz
+  hardware limits: 800 MHz - 4.80 GHz
   available cpufreq governors: performance powersave
-  current policy: frequency should be within 800 MHz and 4.60 GHz.
+  current policy: frequency should be within 800 MHz and 4.80 GHz.
                   The governor "powersave" may decide which speed to use
                   within this range.
   current CPU frequency: Unable to call hardware
-  current CPU frequency: 4.27 GHz (asserted by call to kernel)
+  current CPU frequency: 4.39 GHz (asserted by call to kernel)
   boost state support:
     Supported: yes
     Active: yes
@@ -1760,16 +1760,16 @@ dev.tty.ldisc_autoload = 1
 dev.tty.legacy_tiocsti = 0
 fs.aio-max-nr = 65536
 fs.aio-nr = 0
-fs.dentry-state = 172300	128222	45	0	58552	0
+fs.dentry-state = 393945	339587	45	0	215054	0
 fs.dir-notify-enable = 1
 fs.epoll.max_user_watches = 43912503
 fs.fanotify.max_queued_events = 16384
 fs.fanotify.max_user_groups = 128
 fs.fanotify.max_user_marks = 1048576
 fs.file-max = 9223372036854775807
-fs.file-nr = 7520	0	9223372036854775807
-fs.inode-nr = 164630	47826
-fs.inode-state = 164630	47826	0	0	0	0	0
+fs.file-nr = 7424	0	9223372036854775807
+fs.inode-nr = 232263	60455
+fs.inode-state = 232263	60455	0	0	0	0	0
 fs.inotify.max_queued_events = 16384
 fs.inotify.max_user_instances = 128
 fs.inotify.max_user_watches = 65536
@@ -1797,7 +1797,7 @@ fs.quota.drops = 0
 fs.quota.free_dquots = 0
 fs.quota.lookups = 0
 fs.quota.reads = 0
-fs.quota.syncs = 2816
+fs.quota.syncs = 2892
 fs.quota.writes = 0
 fs.suid_dumpable = 2
 fs.verity.require_signatures = 0
@@ -1824,7 +1824,7 @@ kernel.ftrace_dump_on_oops = 0
 kernel.ftrace_enabled = 1
 kernel.hardlockup_all_cpu_backtrace = 0
 kernel.hardlockup_panic = 0
-kernel.hostname = c9e0515cf4fd
+kernel.hostname = 62ad37f3b3fb
 kernel.hotplug = 
 kernel.hung_task_all_cpu_backtrace = 0
 kernel.hung_task_check_count = 4194304
@@ -1856,7 +1856,7 @@ kernel.msgmnb = 16384
 kernel.msgmni = 32000
 kernel.ngroups_max = 65536
 kernel.nmi_watchdog = 1
-kernel.ns_last_pid = 2718
+kernel.ns_last_pid = 2717
 kernel.numa_balancing = 0
 kernel.numa_balancing_promote_rate_limit_MBps = 65536
 kernel.oops_all_cpu_backtrace = 0
@@ -1887,13 +1887,13 @@ kernel.printk_devkmsg = on
 kernel.printk_ratelimit = 5
 kernel.printk_ratelimit_burst = 10
 kernel.pty.max = 4096
-kernel.pty.nr = 39
+kernel.pty.nr = 44
 kernel.pty.reserve = 1024
 kernel.random.boot_id = 29685405-01e1-41c8-8cf0-dcaddcc1862c
 kernel.random.entropy_avail = 256
 kernel.random.poolsize = 256
 kernel.random.urandom_min_reseed_secs = 60
-kernel.random.uuid = 1f73e348-32b9-4d99-9bbf-82cd99c3921f
+kernel.random.uuid = da8f1825-2c92-4a82-86ab-8f6ba7b54b4e
 kernel.random.write_wakeup_threshold = 256
 kernel.randomize_va_space = 2
 kernel.real-root-dev = 0
diff --git a/open/MLCommons/results/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/accuracy/mlperf_log_detail.txt b/open/MLCommons/results/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/accuracy/mlperf_log_detail.txt
index f9a6a91b..7bc45be7 100644
--- a/open/MLCommons/results/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/accuracy/mlperf_log_detail.txt
+++ b/open/MLCommons/results/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/accuracy/mlperf_log_detail.txt
@@ -1,71 +1,71 @@
-:::MLLOG {"key": "loadgen_version", "value": "5.0.4 @ b9f22d6c37", "time_ms": 0.084573, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 53, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "loadgen_build_date_local", "value": "2025-01-03T05:14:20.935958", "time_ms": 0.084573, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 55, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "loadgen_build_date_utc", "value": "2025-01-03T05:14:20.935962", "time_ms": 0.084573, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 56, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "loadgen_git_commit_date", "value": "2025-01-02T22:00:19+00:00", "time_ms": 0.084573, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 57, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "loadgen_git_log_message", "value": "b9f22d6c37fa9024616538516e1d3bb59dd7c019 Implement KSM to pull a PAT for commits in format.yml (#2011)\n2fdb814e6a765d994872fb99ee38f8c43418d5b0 Automotive reference implementation (#1954)\nbe6ff52235b74a2f4ef85bf86fa3785045229fa8 [Automated Commit] Format Codebase\nc2cd92e9ffdb2c8c92d8bb446108a6e45e23a45e Output accuracy in expected submission format\n9abda7c4759f99faca06954268d2f56b5bd4682b Add rgat accuracy format", "time_ms": 0.084573, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 58, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "loadgen_git_status_message", "value": "", "time_ms": 0.084573, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 60, "pid": 1121, "tid": 1121}}
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-:::MLLOG {"key": "test_datetime", "value": "2025-01-08T05:29:54Z", "time_ms": 0.091211, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1193, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "sut_name", "value": "PySUT", "time_ms": 0.091211, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1194, "pid": 1121, "tid": 1121}}
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-:::MLLOG {"key": "qsl_name", "value": "PyQSL", "time_ms": 0.091211, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1196, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "qsl_reported_total_count", "value": 1, "time_ms": 0.091211, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1197, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "qsl_reported_performance_count", "value": 1, "time_ms": 0.091211, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1198, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_scenario", "value": "Offline", "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 272, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_test_mode", "value": "AccuracyOnly", "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 273, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_offline_expected_qps", "value": 0.01, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 310, "pid": 1121, "tid": 1121}}
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-:::MLLOG {"key": "requested_max_duration_ms", "value": 0, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 317, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_min_query_count", "value": 1, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 318, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_max_query_count", "value": 1, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 319, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 320, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 321, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 323, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_accuracy_log_rng_seed", "value": 0, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 324, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_accuracy_log_probability", "value": 0, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 326, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_accuracy_log_sampling_target", "value": 0, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 328, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_print_timestamps", "value": false, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 330, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_performance_issue_unique", "value": false, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 331, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_performance_issue_same", "value": false, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 333, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_performance_issue_same_index", "value": 0, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 335, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_performance_sample_count_override", "value": 24576, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 337, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_sample_concatenate_permutation", "value": true, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 339, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_use_token_latencies", "value": true, "time_ms": 0.299474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 343, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_scenario", "value": "Offline", "time_ms": 0.299591, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 418, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_test_mode", "value": "AccuracyOnly", "time_ms": 0.299591, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 419, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_samples_per_query", "value": 1, "time_ms": 0.299591, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 421, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_target_qps", "value": 0.01, "time_ms": 0.299591, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 422, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_target_latency_ns", "value": 0, "time_ms": 0.299591, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 423, "pid": 1121, "tid": 1121}}
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-:::MLLOG {"key": "effective_max_async_queries", "value": 1, "time_ms": 0.299591, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 426, "pid": 1121, "tid": 1121}}
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-:::MLLOG {"key": "effective_min_duration_ms", "value": 0, "time_ms": 0.299591, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 429, "pid": 1121, "tid": 1121}}
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-:::MLLOG {"key": "effective_print_timestamps", "value": false, "time_ms": 0.299591, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 444, "pid": 1121, "tid": 1121}}
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-:::MLLOG {"key": "effective_performance_issue_same", "value": false, "time_ms": 0.299591, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 447, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_performance_issue_same_index", "value": 0, "time_ms": 0.299591, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 449, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_performance_sample_count", "value": 24576, "time_ms": 0.299591, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 451, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_sample_concatenate_permutation", "value": true, "time_ms": 0.299591, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 453, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "generic_message", "value": "Starting accuracy mode", "time_ms": 0.302648, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1084, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "loaded_qsl_set", "value": [0], "time_ms": 0.305835, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 607, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "generated_query_count", "value": 1, "time_ms": 0.507816, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 426, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "generated_samples_per_query", "value": 1, "time_ms": 0.507816, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 427, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "generated_query_duration", "value": 100000000000, "time_ms": 0.507816, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 428, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 789697.749138, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 789697.749138, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 789697.749138, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 789697.749138, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 908, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 0, "time_ms": 789697.749138, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 910, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 789697.749138, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 912, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "power_begin", "value": "01-08-2025 05:29:54.623", "time_ms": 789697.751550, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 561, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "power_end", "value": "01-08-2025 05:43:04.310", "time_ms": 789697.751550, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 563, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "loadgen_version", "value": "5.0.4 @ b9f22d6c37", "time_ms": 0.130785, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 53, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "loadgen_build_date_local", "value": "2025-01-03T05:14:20.935958", "time_ms": 0.130785, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 55, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "loadgen_build_date_utc", "value": "2025-01-03T05:14:20.935962", "time_ms": 0.130785, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 56, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "loadgen_git_commit_date", "value": "2025-01-02T22:00:19+00:00", "time_ms": 0.130785, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 57, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "loadgen_git_log_message", "value": "b9f22d6c37fa9024616538516e1d3bb59dd7c019 Implement KSM to pull a PAT for commits in format.yml (#2011)\n2fdb814e6a765d994872fb99ee38f8c43418d5b0 Automotive reference implementation (#1954)\nbe6ff52235b74a2f4ef85bf86fa3785045229fa8 [Automated Commit] Format Codebase\nc2cd92e9ffdb2c8c92d8bb446108a6e45e23a45e Output accuracy in expected submission format\n9abda7c4759f99faca06954268d2f56b5bd4682b Add rgat accuracy format", "time_ms": 0.130785, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 58, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "loadgen_git_status_message", "value": "", "time_ms": 0.130785, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 60, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "loadgen_file_sha1", "value": {"/.clang-format":"012aad77e5206c89d50718c46c119d1f3cb056b2","/CMakeLists.txt":"a8ebd64f62d0349aeedbe3295d833ebdce625c2e","/MANIFEST.in":"ddeb472d62edf2920db1f8fa3beebe3e831557f1","/README.md":"20a55bb946c2c0bbb564ced2af1e48efd096b3a8","/README_BUILD.md":"5f6c6a784e9cd6995db47f9b9f70b1769909c9d8","/README_FAQ.md":"01f9ae9887f50bc030dc6107e740f40c43ca388f","/VERSION.txt":"6e3b3fc66be67844ebb7a04b716d090b151076d1","/__init__.py":"d013101621ef06a0ddc5e7d9ce511918a8b2ebe6","/bindings/c_api.cc":"14d178b64c7fc45d090e038c08d9b78ca943c383","/bindings/c_api.h":"23d9f99e00b2d196e095fae0bb453a391c18d601","/bindings/python_api.cc":"9f538d2a5390c77ae0bc3f8a351bcdb2587bc66c","/diagram_network_submission.png":"53dba8ad4272190ceb6335c12fd25e53dc02a8cb","/diagram_submission.png":"84c2f79309b237cef652aef6a187ba8e875a3952","/early_stopping.cc":"0cd7b546a389deac73f7955cd39255ed76557d62","/early_stopping.h":"158fcae6a5f47e82150d6416fa1f7bcef37e77fe","/issue_query_controller.cc":"02fcfe6d9cf958eeb4b6f1f4dbe87ba7eb4d7dec","/issue_query_controller.h":"ed20934fd3507a15949d501ac154be38e766f6ab","/loadgen.cc":"42b50c087c6fea1005abbba369c22cb09d6a364a","/loadgen.h":"ce9fcb5d44951e7e9048a83b7c1a41c8b8e0f7d8","/loadgen_integration_diagram.svg":"47f748307536f80cfc606947b440dd732afc2637","/logging.cc":"49e63158ebca654fa4b7c5f3321054cf4d6c3a30","/logging.h":"5f6cc9ed4c4859641e05b1bb6a0ef860c852fcd8","/mlperf.conf":"d7e6b5752638a29cd357a53f7aa92f0bcaa0215e","/mlperf_conf.h":"c998626f6b94c1e068b9da7f5be9ba15e5d2d58f","/pyproject.toml":"712fab87b72ba67ef2a068d0f9f47da65130342f","/query_dispatch_library.h":"1f18e9cd3ee4dc89a387cf462de1d0ceb1ece975","/query_sample.h":"c4f399103bc3d172079bbd4cd2b0ca0f22eebc4f","/query_sample_library.h":"8323a2225be1dff31f08ecc86b76eb3de06568bc","/requirements.txt":"a5ff7e77caa6e9e22ada90f0de0c865c987bf167","/results.cc":"239835696a1abe2cac9e866122d1dddc367e3548","/results.h":"fce22d5a588d91fd968a6b25c27896dba87bc276","/setup.py":"a5eaa6f713bd3dfb6603be2c7928f0c295d7ee30","/system_under_test.h":"18d4809589dae33317d88d9beeb5491a6e1ccdec","/test_settings.h":"476ecd4032f3bafe6f201df25d68aca4e177f659","/test_settings_internal.cc":"8827ef7d70e6c9a43dd25b4f42a6d2a9cecda428","/test_settings_internal.h":"2bb9e9ae53904cb0ca221f4a5d49ca7d9ec3b0ca","/utils.cc":"3df8fdabf6eaea4697cf25d1dcb89cae88e36efd","/utils.h":"40775e32d619ea6356826ae5ea4174c7911f6894","/version.cc":"cbec2a5f98f9786c8c3d8b06b3d12df0b6550fa0","/version.h":"9d574baa64424e9c708fcfedd3dbb0b518a65fcc","/version_generator.py":"9f23d13276194588473120a8a6ecf5a6ed034a23"}, "time_ms": 0.130785, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 67, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "test_datetime", "value": "2025-01-09T05:27:15Z", "time_ms": 0.139601, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1193, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "sut_name", "value": "PySUT", "time_ms": 0.139601, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1194, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "get_sut_name_duration_ns", "value": 1257, "time_ms": 0.139601, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1195, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "qsl_name", "value": "PyQSL", "time_ms": 0.139601, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1196, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "qsl_reported_total_count", "value": 1, "time_ms": 0.139601, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1197, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "qsl_reported_performance_count", "value": 1, "time_ms": 0.139601, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1198, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_scenario", "value": "Offline", "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 272, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_test_mode", "value": "AccuracyOnly", "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 273, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_offline_expected_qps", "value": 0.01, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 310, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_min_duration_ms", "value": 0, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 316, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_max_duration_ms", "value": 0, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 317, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_min_query_count", "value": 1, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 318, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_max_query_count", "value": 1, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 319, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 320, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 321, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 323, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_accuracy_log_rng_seed", "value": 0, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 324, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_accuracy_log_probability", "value": 0, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 326, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_accuracy_log_sampling_target", "value": 0, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 328, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_print_timestamps", "value": false, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 330, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_performance_issue_unique", "value": false, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 331, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_performance_issue_same", "value": false, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 333, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_performance_issue_same_index", "value": 0, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 335, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_performance_sample_count_override", "value": 24576, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 337, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_sample_concatenate_permutation", "value": true, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 339, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "requested_use_token_latencies", "value": true, "time_ms": 0.264009, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 343, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_scenario", "value": "Offline", "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 418, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_test_mode", "value": "AccuracyOnly", "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 419, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_samples_per_query", "value": 1, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 421, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_target_qps", "value": 0.01, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 422, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_target_latency_ns", "value": 0, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 423, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_target_latency_percentile", "value": 0.99, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 424, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_max_async_queries", "value": 1, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 426, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_target_duration_ms", "value": 0, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 427, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_min_duration_ms", "value": 0, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 429, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_max_duration_ms", "value": 0, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 430, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_min_query_count", "value": 1, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 431, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_max_query_count", "value": 1, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 432, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_min_sample_count", "value": 1, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 433, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 434, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 435, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 437, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_accuracy_log_rng_seed", "value": 0, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 438, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_accuracy_log_probability", "value": 0, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 440, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_accuracy_log_sampling_target", "value": 0, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 442, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_print_timestamps", "value": false, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 444, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_performance_issue_unique", "value": false, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 445, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_performance_issue_same", "value": false, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 447, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_performance_issue_same_index", "value": 0, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 449, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_performance_sample_count", "value": 24576, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 451, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "effective_sample_concatenate_permutation", "value": true, "time_ms": 0.264449, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 453, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "generic_message", "value": "Starting accuracy mode", "time_ms": 0.274834, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1084, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "loaded_qsl_set", "value": [0], "time_ms": 0.287414, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 607, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "generated_query_count", "value": 1, "time_ms": 0.591507, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 426, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "generated_samples_per_query", "value": 1, "time_ms": 0.591507, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 427, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "generated_query_duration", "value": 100000000000, "time_ms": 0.591507, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 428, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 837146.882832, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 837146.882832, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 837146.882832, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 837146.882832, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 908, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 0, "time_ms": 837146.882832, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 910, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 837146.882832, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 912, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "power_begin", "value": "01-09-2025 05:27:15.523", "time_ms": 837146.883849, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 561, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "power_end", "value": "01-09-2025 05:41:12.668", "time_ms": 837146.883849, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 563, "pid": 1121, "tid": 1121}}
diff --git a/open/MLCommons/results/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/performance/run_1/mlperf_log_detail.txt b/open/MLCommons/results/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/performance/run_1/mlperf_log_detail.txt
index 7898c91f..0ca43e12 100644
--- a/open/MLCommons/results/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/performance/run_1/mlperf_log_detail.txt
+++ b/open/MLCommons/results/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/performance/run_1/mlperf_log_detail.txt
@@ -1,90 +1,90 @@
-:::MLLOG {"key": "loadgen_version", "value": "5.0.4 @ b9f22d6c37", "time_ms": 0.097567, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 53, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "loadgen_build_date_local", "value": "2025-01-03T05:14:20.935958", "time_ms": 0.097567, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 55, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "loadgen_build_date_utc", "value": "2025-01-03T05:14:20.935962", "time_ms": 0.097567, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 56, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "loadgen_git_commit_date", "value": "2025-01-02T22:00:19+00:00", "time_ms": 0.097567, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 57, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "loadgen_git_log_message", "value": "b9f22d6c37fa9024616538516e1d3bb59dd7c019 Implement KSM to pull a PAT for commits in format.yml (#2011)\n2fdb814e6a765d994872fb99ee38f8c43418d5b0 Automotive reference implementation (#1954)\nbe6ff52235b74a2f4ef85bf86fa3785045229fa8 [Automated Commit] Format Codebase\nc2cd92e9ffdb2c8c92d8bb446108a6e45e23a45e Output accuracy in expected submission format\n9abda7c4759f99faca06954268d2f56b5bd4682b Add rgat accuracy format", "time_ms": 0.097567, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 58, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "loadgen_git_status_message", "value": "", "time_ms": 0.097567, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 60, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "loadgen_file_sha1", "value": {"/.clang-format":"012aad77e5206c89d50718c46c119d1f3cb056b2","/CMakeLists.txt":"a8ebd64f62d0349aeedbe3295d833ebdce625c2e","/MANIFEST.in":"ddeb472d62edf2920db1f8fa3beebe3e831557f1","/README.md":"20a55bb946c2c0bbb564ced2af1e48efd096b3a8","/README_BUILD.md":"5f6c6a784e9cd6995db47f9b9f70b1769909c9d8","/README_FAQ.md":"01f9ae9887f50bc030dc6107e740f40c43ca388f","/VERSION.txt":"6e3b3fc66be67844ebb7a04b716d090b151076d1","/__init__.py":"d013101621ef06a0ddc5e7d9ce511918a8b2ebe6","/bindings/c_api.cc":"14d178b64c7fc45d090e038c08d9b78ca943c383","/bindings/c_api.h":"23d9f99e00b2d196e095fae0bb453a391c18d601","/bindings/python_api.cc":"9f538d2a5390c77ae0bc3f8a351bcdb2587bc66c","/diagram_network_submission.png":"53dba8ad4272190ceb6335c12fd25e53dc02a8cb","/diagram_submission.png":"84c2f79309b237cef652aef6a187ba8e875a3952","/early_stopping.cc":"0cd7b546a389deac73f7955cd39255ed76557d62","/early_stopping.h":"158fcae6a5f47e82150d6416fa1f7bcef37e77fe","/issue_query_controller.cc":"02fcfe6d9cf958eeb4b6f1f4dbe87ba7eb4d7dec","/issue_query_controller.h":"ed20934fd3507a15949d501ac154be38e766f6ab","/loadgen.cc":"42b50c087c6fea1005abbba369c22cb09d6a364a","/loadgen.h":"ce9fcb5d44951e7e9048a83b7c1a41c8b8e0f7d8","/loadgen_integration_diagram.svg":"47f748307536f80cfc606947b440dd732afc2637","/logging.cc":"49e63158ebca654fa4b7c5f3321054cf4d6c3a30","/logging.h":"5f6cc9ed4c4859641e05b1bb6a0ef860c852fcd8","/mlperf.conf":"d7e6b5752638a29cd357a53f7aa92f0bcaa0215e","/mlperf_conf.h":"c998626f6b94c1e068b9da7f5be9ba15e5d2d58f","/pyproject.toml":"712fab87b72ba67ef2a068d0f9f47da65130342f","/query_dispatch_library.h":"1f18e9cd3ee4dc89a387cf462de1d0ceb1ece975","/query_sample.h":"c4f399103bc3d172079bbd4cd2b0ca0f22eebc4f","/query_sample_library.h":"8323a2225be1dff31f08ecc86b76eb3de06568bc","/requirements.txt":"a5ff7e77caa6e9e22ada90f0de0c865c987bf167","/results.cc":"239835696a1abe2cac9e866122d1dddc367e3548","/results.h":"fce22d5a588d91fd968a6b25c27896dba87bc276","/setup.py":"a5eaa6f713bd3dfb6603be2c7928f0c295d7ee30","/system_under_test.h":"18d4809589dae33317d88d9beeb5491a6e1ccdec","/test_settings.h":"476ecd4032f3bafe6f201df25d68aca4e177f659","/test_settings_internal.cc":"8827ef7d70e6c9a43dd25b4f42a6d2a9cecda428","/test_settings_internal.h":"2bb9e9ae53904cb0ca221f4a5d49ca7d9ec3b0ca","/utils.cc":"3df8fdabf6eaea4697cf25d1dcb89cae88e36efd","/utils.h":"40775e32d619ea6356826ae5ea4174c7911f6894","/version.cc":"cbec2a5f98f9786c8c3d8b06b3d12df0b6550fa0","/version.h":"9d574baa64424e9c708fcfedd3dbb0b518a65fcc","/version_generator.py":"9f23d13276194588473120a8a6ecf5a6ed034a23"}, "time_ms": 0.097567, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 67, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "test_datetime", "value": "2025-01-08T05:14:19Z", "time_ms": 0.104497, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1193, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "sut_name", "value": "PySUT", "time_ms": 0.104497, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1194, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "get_sut_name_duration_ns", "value": 519, "time_ms": 0.104497, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1195, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "qsl_name", "value": "PyQSL", "time_ms": 0.104497, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1196, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "qsl_reported_total_count", "value": 1, "time_ms": 0.104497, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1197, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "qsl_reported_performance_count", "value": 1, "time_ms": 0.104497, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1198, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_scenario", "value": "Offline", "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 272, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_test_mode", "value": "PerformanceOnly", "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 273, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_offline_expected_qps", "value": 0.01, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 310, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_min_duration_ms", "value": 0, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 316, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_max_duration_ms", "value": 0, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 317, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_min_query_count", "value": 1, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 318, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_max_query_count", "value": 1, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 319, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 320, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 321, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 323, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_accuracy_log_rng_seed", "value": 0, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 324, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_accuracy_log_probability", "value": 0, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 326, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_accuracy_log_sampling_target", "value": 0, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 328, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_print_timestamps", "value": false, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 330, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_performance_issue_unique", "value": false, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 331, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_performance_issue_same", "value": false, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 333, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_performance_issue_same_index", "value": 0, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 335, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_performance_sample_count_override", "value": 24576, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 337, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_sample_concatenate_permutation", "value": true, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 339, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "requested_use_token_latencies", "value": true, "time_ms": 0.276255, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 343, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_scenario", "value": "Offline", "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 418, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_test_mode", "value": "PerformanceOnly", "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 419, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_samples_per_query", "value": 1, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 421, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_target_qps", "value": 0.01, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 422, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_target_latency_ns", "value": 0, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 423, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_target_latency_percentile", "value": 0.99, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 424, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_max_async_queries", "value": 1, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 426, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_target_duration_ms", "value": 0, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 427, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_min_duration_ms", "value": 0, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 429, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_max_duration_ms", "value": 0, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 430, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_min_query_count", "value": 1, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 431, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_max_query_count", "value": 1, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 432, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_min_sample_count", "value": 1, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 433, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 434, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 435, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 437, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_accuracy_log_rng_seed", "value": 0, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 438, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_accuracy_log_probability", "value": 0, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 440, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_accuracy_log_sampling_target", "value": 0, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 442, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_print_timestamps", "value": false, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 444, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_performance_issue_unique", "value": false, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 445, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_performance_issue_same", "value": false, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 447, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_performance_issue_same_index", "value": 0, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 449, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_performance_sample_count", "value": 24576, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 451, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "effective_sample_concatenate_permutation", "value": true, "time_ms": 0.276565, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 453, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "generic_message", "value": "Starting performance mode", "time_ms": 0.280727, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 835, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "loaded_qsl_set", "value": [0], "time_ms": 0.285155, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 607, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "generated_query_count", "value": 1, "time_ms": 0.954857, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 426, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "generated_samples_per_query", "value": 1, "time_ms": 0.954857, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 427, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "generated_query_duration", "value": 100000000000, "time_ms": 0.954857, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 428, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "generic_message", "value": "Ending naturally: Minimum query count and test duration met.", "time_ms": 1.060807, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "issue_query_controller.cc", "line_no": 482, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 842054.633679, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 842054.633679, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 842054.633679, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 842054.633679, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 908, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 0, "time_ms": 842054.633679, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 910, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 842054.633679, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 912, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "power_begin", "value": "01-08-2025 05:14:19.242", "time_ms": 842054.635256, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 561, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "power_end", "value": "01-08-2025 05:28:21.293", "time_ms": 842054.635256, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 563, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "result_validity", "value": "VALID", "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 674, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "result_min_duration_met", "value": true, "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 679, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "result_min_queries_met", "value": true, "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 680, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "early_stopping_met", "value": true, "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 681, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "early_stopping_ttft_result", "value": "", "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 706, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "early_stopping_tpot_result", "value": "", "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 708, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "result_query_count", "value": 1, "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 712, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "result_samples_per_second", "value": 0.00118758, "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 768, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "result_min_latency_ns", "value": 842050998701, "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 774, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "result_max_latency_ns", "value": 842050998701, "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 775, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "result_mean_latency_ns", "value": 842050998701, "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 776, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "result_50.00_percentile_latency_ns", "value": 842050998701, "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "result_90.00_percentile_latency_ns", "value": 842050998701, "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "result_95.00_percentile_latency_ns", "value": 842050998701, "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "result_97.00_percentile_latency_ns", "value": 842050998701, "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "result_99.00_percentile_latency_ns", "value": 842050998701, "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "result_99.90_percentile_latency_ns", "value": 842050998701, "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 1121, "tid": 1121}}
-:::MLLOG {"key": "result_tokens_per_second", "value": 0.362211, "time_ms": 842054.656654, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 822, "pid": 1121, "tid": 1121}}
+:::MLLOG {"key": "loadgen_version", "value": "5.0.4 @ b9f22d6c37", "time_ms": 0.097817, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 53, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "loadgen_build_date_local", "value": "2025-01-03T05:14:20.935958", "time_ms": 0.097817, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 55, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "loadgen_build_date_utc", "value": "2025-01-03T05:14:20.935962", "time_ms": 0.097817, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 56, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "loadgen_git_commit_date", "value": "2025-01-02T22:00:19+00:00", "time_ms": 0.097817, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 57, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "loadgen_git_log_message", "value": "b9f22d6c37fa9024616538516e1d3bb59dd7c019 Implement KSM to pull a PAT for commits in format.yml (#2011)\n2fdb814e6a765d994872fb99ee38f8c43418d5b0 Automotive reference implementation (#1954)\nbe6ff52235b74a2f4ef85bf86fa3785045229fa8 [Automated Commit] Format Codebase\nc2cd92e9ffdb2c8c92d8bb446108a6e45e23a45e Output accuracy in expected submission format\n9abda7c4759f99faca06954268d2f56b5bd4682b Add rgat accuracy format", "time_ms": 0.097817, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 58, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "loadgen_git_status_message", "value": "", "time_ms": 0.097817, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 60, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "loadgen_file_sha1", "value": {"/.clang-format":"012aad77e5206c89d50718c46c119d1f3cb056b2","/CMakeLists.txt":"a8ebd64f62d0349aeedbe3295d833ebdce625c2e","/MANIFEST.in":"ddeb472d62edf2920db1f8fa3beebe3e831557f1","/README.md":"20a55bb946c2c0bbb564ced2af1e48efd096b3a8","/README_BUILD.md":"5f6c6a784e9cd6995db47f9b9f70b1769909c9d8","/README_FAQ.md":"01f9ae9887f50bc030dc6107e740f40c43ca388f","/VERSION.txt":"6e3b3fc66be67844ebb7a04b716d090b151076d1","/__init__.py":"d013101621ef06a0ddc5e7d9ce511918a8b2ebe6","/bindings/c_api.cc":"14d178b64c7fc45d090e038c08d9b78ca943c383","/bindings/c_api.h":"23d9f99e00b2d196e095fae0bb453a391c18d601","/bindings/python_api.cc":"9f538d2a5390c77ae0bc3f8a351bcdb2587bc66c","/diagram_network_submission.png":"53dba8ad4272190ceb6335c12fd25e53dc02a8cb","/diagram_submission.png":"84c2f79309b237cef652aef6a187ba8e875a3952","/early_stopping.cc":"0cd7b546a389deac73f7955cd39255ed76557d62","/early_stopping.h":"158fcae6a5f47e82150d6416fa1f7bcef37e77fe","/issue_query_controller.cc":"02fcfe6d9cf958eeb4b6f1f4dbe87ba7eb4d7dec","/issue_query_controller.h":"ed20934fd3507a15949d501ac154be38e766f6ab","/loadgen.cc":"42b50c087c6fea1005abbba369c22cb09d6a364a","/loadgen.h":"ce9fcb5d44951e7e9048a83b7c1a41c8b8e0f7d8","/loadgen_integration_diagram.svg":"47f748307536f80cfc606947b440dd732afc2637","/logging.cc":"49e63158ebca654fa4b7c5f3321054cf4d6c3a30","/logging.h":"5f6cc9ed4c4859641e05b1bb6a0ef860c852fcd8","/mlperf.conf":"d7e6b5752638a29cd357a53f7aa92f0bcaa0215e","/mlperf_conf.h":"c998626f6b94c1e068b9da7f5be9ba15e5d2d58f","/pyproject.toml":"712fab87b72ba67ef2a068d0f9f47da65130342f","/query_dispatch_library.h":"1f18e9cd3ee4dc89a387cf462de1d0ceb1ece975","/query_sample.h":"c4f399103bc3d172079bbd4cd2b0ca0f22eebc4f","/query_sample_library.h":"8323a2225be1dff31f08ecc86b76eb3de06568bc","/requirements.txt":"a5ff7e77caa6e9e22ada90f0de0c865c987bf167","/results.cc":"239835696a1abe2cac9e866122d1dddc367e3548","/results.h":"fce22d5a588d91fd968a6b25c27896dba87bc276","/setup.py":"a5eaa6f713bd3dfb6603be2c7928f0c295d7ee30","/system_under_test.h":"18d4809589dae33317d88d9beeb5491a6e1ccdec","/test_settings.h":"476ecd4032f3bafe6f201df25d68aca4e177f659","/test_settings_internal.cc":"8827ef7d70e6c9a43dd25b4f42a6d2a9cecda428","/test_settings_internal.h":"2bb9e9ae53904cb0ca221f4a5d49ca7d9ec3b0ca","/utils.cc":"3df8fdabf6eaea4697cf25d1dcb89cae88e36efd","/utils.h":"40775e32d619ea6356826ae5ea4174c7911f6894","/version.cc":"cbec2a5f98f9786c8c3d8b06b3d12df0b6550fa0","/version.h":"9d574baa64424e9c708fcfedd3dbb0b518a65fcc","/version_generator.py":"9f23d13276194588473120a8a6ecf5a6ed034a23"}, "time_ms": 0.097817, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "version.cc", "line_no": 67, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "test_datetime", "value": "2025-01-09T05:13:53Z", "time_ms": 0.102858, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1193, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "sut_name", "value": "PySUT", "time_ms": 0.102858, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1194, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "get_sut_name_duration_ns", "value": 745, "time_ms": 0.102858, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1195, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "qsl_name", "value": "PyQSL", "time_ms": 0.102858, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1196, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "qsl_reported_total_count", "value": 1, "time_ms": 0.102858, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1197, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "qsl_reported_performance_count", "value": 1, "time_ms": 0.102858, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 1198, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_scenario", "value": "Offline", "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 272, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_test_mode", "value": "PerformanceOnly", "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 273, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_offline_expected_qps", "value": 0.01, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 310, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_min_duration_ms", "value": 0, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 316, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_max_duration_ms", "value": 0, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 317, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_min_query_count", "value": 1, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 318, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_max_query_count", "value": 1, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 319, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 320, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 321, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 323, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_accuracy_log_rng_seed", "value": 0, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 324, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_accuracy_log_probability", "value": 0, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 326, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_accuracy_log_sampling_target", "value": 0, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 328, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_print_timestamps", "value": false, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 330, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_performance_issue_unique", "value": false, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 331, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_performance_issue_same", "value": false, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 333, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_performance_issue_same_index", "value": 0, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 335, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_performance_sample_count_override", "value": 24576, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 337, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_sample_concatenate_permutation", "value": true, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 339, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "requested_use_token_latencies", "value": true, "time_ms": 0.198168, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 343, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_scenario", "value": "Offline", "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 418, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_test_mode", "value": "PerformanceOnly", "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 419, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_samples_per_query", "value": 1, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 421, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_target_qps", "value": 0.01, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 422, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_target_latency_ns", "value": 0, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 423, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_target_latency_percentile", "value": 0.99, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 424, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_max_async_queries", "value": 1, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 426, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_target_duration_ms", "value": 0, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 427, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_min_duration_ms", "value": 0, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 429, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_max_duration_ms", "value": 0, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 430, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_min_query_count", "value": 1, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 431, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_max_query_count", "value": 1, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 432, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_min_sample_count", "value": 1, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 433, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_qsl_rng_seed", "value": 3066443479025735752, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 434, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_sample_index_rng_seed", "value": 10688027786191513374, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 435, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_schedule_rng_seed", "value": 14962580496156340209, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 437, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_accuracy_log_rng_seed", "value": 0, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 438, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_accuracy_log_probability", "value": 0, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 440, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_accuracy_log_sampling_target", "value": 0, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 442, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_print_timestamps", "value": false, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 444, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_performance_issue_unique", "value": false, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 445, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_performance_issue_same", "value": false, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 447, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_performance_issue_same_index", "value": 0, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 449, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_performance_sample_count", "value": 24576, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 451, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "effective_sample_concatenate_permutation", "value": true, "time_ms": 0.198474, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "test_settings_internal.cc", "line_no": 453, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "generic_message", "value": "Starting performance mode", "time_ms": 0.202783, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 835, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "loaded_qsl_set", "value": [0], "time_ms": 0.207961, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 607, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "generated_query_count", "value": 1, "time_ms": 0.879378, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 426, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "generated_samples_per_query", "value": 1, "time_ms": 0.879378, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 427, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "generated_query_duration", "value": 100000000000, "time_ms": 0.879378, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 428, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "generic_message", "value": "Ending naturally: Minimum query count and test duration met.", "time_ms": 0.984552, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "issue_query_controller.cc", "line_no": 482, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_count", "value": 0, "time_ms": 708895.865104, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 902, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_retry_count", "value": 0, "time_ms": 708895.865104, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 904, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "logger_swap_request_slots_retry_reencounter_count", "value": 0, "time_ms": 708895.865104, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 906, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "logger_start_reading_entries_retry_count", "value": 0, "time_ms": 708895.865104, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 908, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "logger_tls_total_log_cas_fail_count", "value": 0, "time_ms": 708895.865104, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 910, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "logger_tls_total_swap_buffers_slot_retry_count", "value": 0, "time_ms": 708895.865104, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "logging.cc", "line_no": 912, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "power_begin", "value": "01-09-2025 05:13:53.979", "time_ms": 708895.867024, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 561, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "power_end", "value": "01-09-2025 05:25:42.869", "time_ms": 708895.867024, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "loadgen.cc", "line_no": 563, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "result_validity", "value": "VALID", "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 674, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "result_min_duration_met", "value": true, "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 679, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "result_min_queries_met", "value": true, "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 680, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "early_stopping_met", "value": true, "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 681, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "early_stopping_ttft_result", "value": "", "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 706, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "early_stopping_tpot_result", "value": "", "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 708, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "result_query_count", "value": 1, "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 712, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "result_samples_per_second", "value": 0.00141066, "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 768, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "result_min_latency_ns", "value": 708890155028, "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 774, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "result_max_latency_ns", "value": 708890155028, "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 775, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "result_mean_latency_ns", "value": 708890155028, "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 776, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "result_50.00_percentile_latency_ns", "value": 708890155028, "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "result_90.00_percentile_latency_ns", "value": 708890155028, "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "result_95.00_percentile_latency_ns", "value": 708890155028, "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "result_97.00_percentile_latency_ns", "value": 708890155028, "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "result_99.00_percentile_latency_ns", "value": 708890155028, "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "result_99.90_percentile_latency_ns", "value": 708890155028, "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 778, "pid": 1120, "tid": 1120}}
+:::MLLOG {"key": "result_tokens_per_second", "value": 0.43025, "time_ms": 708895.885504, "namespace": "mlperf::logging", "event_type": "POINT_IN_TIME", "metadata": {"is_error": false, "is_warning": false, "file": "results.cc", "line_no": 822, "pid": 1120, "tid": 1120}}
diff --git a/open/MLCommons/results/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/performance/run_1/mlperf_log_summary.txt b/open/MLCommons/results/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/performance/run_1/mlperf_log_summary.txt
index f7f972cf..b532c0b8 100644
--- a/open/MLCommons/results/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/performance/run_1/mlperf_log_summary.txt
+++ b/open/MLCommons/results/gh_action-reference-cpu-pytorch_v2.5.1-default_config/llama2-70b-99/offline/performance/run_1/mlperf_log_summary.txt
@@ -4,8 +4,8 @@ MLPerf Results Summary
 SUT name : PySUT
 Scenario : Offline
 Mode     : PerformanceOnly
-Samples per second: 0.00118758
-Tokens per second: 0.362211
+Samples per second: 0.00141066
+Tokens per second: 0.43025
 Result is : VALID
   Min duration satisfied : Yes
   Min queries satisfied : Yes
@@ -14,15 +14,15 @@ Result is : VALID
 ================================================
 Additional Stats
 ================================================
-Min latency (ns)                : 842050998701
-Max latency (ns)                : 842050998701
-Mean latency (ns)               : 842050998701
-50.00 percentile latency (ns)   : 842050998701
-90.00 percentile latency (ns)   : 842050998701
-95.00 percentile latency (ns)   : 842050998701
-97.00 percentile latency (ns)   : 842050998701
-99.00 percentile latency (ns)   : 842050998701
-99.90 percentile latency (ns)   : 842050998701
+Min latency (ns)                : 708890155028
+Max latency (ns)                : 708890155028
+Mean latency (ns)               : 708890155028
+50.00 percentile latency (ns)   : 708890155028
+90.00 percentile latency (ns)   : 708890155028
+95.00 percentile latency (ns)   : 708890155028
+97.00 percentile latency (ns)   : 708890155028
+99.00 percentile latency (ns)   : 708890155028
+99.90 percentile latency (ns)   : 708890155028
 
 
 ================================================