update

README.md

@@ -23,6 +23,30 @@ Here is an illustration showing how the `StreamingDataset` works.
 
 ![An illustration showing how the Streaming Dataset works.](https://pl-flash-data.s3.amazonaws.com/streaming_dataset.gif)
 
+
+# 🚀 Benchmarks
+
+[Imagenet-1.2M](https://www.image-net.org/) is a famous dataset used to compare Computer Vision deep learning models. Its train dataset contains 1281167 images. Get the full benchmark details [here](https://lightning.ai/lightning-ai/studios/benchmark-cloud-data-loading-libraries).
+
+### Imagenet-1.2M Streaming from AWS S3
+
+| Framework | Images / sec  1st Epoch (float32)  | Images / sec   2nd Epoch (float32) | Images / sec 1st Epoch (torch16) | Images / sec 2nd Epoch (torch16) |
+|---|---|---|---|---|
+| PL Data  | 5800.34  | 6589.98  | 6282.17  | 7221.88  |
+| Web Dataset  | 3134.42 | 3924.95 | 3343.40 | 4424.62 |
+| Mosaic ML  | 2898.61 | 5099.93 | 2809.69 | 5158.98 |
+
+
+### Imagenet-1.2M Preparation
+
+The dataset underlying format needs to be changed to be optimized for data cloud streaming. We measure how long it takes to convert the 1.2 million images.
+
+| Framework |Train Preparation Time | Val Preparation Time | Dataset Size | # Files |
+|---|---|---|---|---|
+| PL Data  |  10:05 min  | 00:30 min  | 143.1 GB  | 2.339  |
+| Web Dataset  | 32:36 min | 01:22 min | 147.8 GB | 1.144 |
+| Mosaic ML  | 49:49 min | 01:04 min | 143.1 GB | 2.298 |
+
 # 🎬 Getting Started
 
 ## 💾 Installation