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added chart
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istvnurbn committed Sep 22, 2024
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Expand Up @@ -33,6 +33,35 @@ From the feel of it, this thing is a beast. But I wanted to be *objective*, so I

The most demanding thing I do is work with large files in the Affinity suite of applications. Affinity Photo has a built-in benchmarking tool. They claim that the test performance can be translated to real-world workloads and that the results are linearly comparable (double the score means twice as fast). I omitted the Raster (multi-GPU) and Combined (multi-GPU) tests because these machines don't have multiple GPUs.

<!-- prettier-ignore-start -->
{{< chart >}}
type: 'bar',
data: {
labels: ['Vector (Single)', 'Vector (Multi)', 'Raster (Multi)', 'Raster (Single)', 'Combined (Multi)', 'Combined (Single)'],
datasets: [
{
label: 'Intel MacBook',
data: [169, 447, 120, 2373, 144, 1760],
backgroundColor: 'rgba(54, 162, 235, 0.2)',
borderColor: 'rgba(54, 162, 235)',
borderWidth: 1,
borderRadius: 3
},
{
label: 'M1 MacBook',
data: [527, 3275, 914, 16852, 944, 15843],
backgroundColor: 'rgba(75, 192, 192, 0.2)',
borderColor: 'rgb(75, 192, 192)',
borderWidth: 1,
borderRadius: 3
}
],
}
{{< /chart >}}
<!-- prettier-ignore-end -->

I think it is safe to say that without a logarithmic scale, the numbers in the above graph are meaningless, so here is a table instead:

| | **Intel MacBook** | **M1 MacBook** | **Gain** |
|-----------------------|:-----------------:|:--------------:|:--------:|
| Vector (Single CPU) | 169 | 527 | +212% |
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