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Benchmarks #18

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aszc-dev opened this issue Nov 21, 2023 · 2 comments
Open

Benchmarks #18

aszc-dev opened this issue Nov 21, 2023 · 2 comments
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help wanted Extra attention is needed

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@aszc-dev
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Some benchmark data showing comparison between safetensors MPS implementation and Core ML, presented in a table in readme could be helpful. It should contain machine info (Processor + RAM), conversion data (attention implementation), image size, compute unit, model used (SD1.5, SDXL, LCM, any one of them with LCM LoRA).

@aszc-dev aszc-dev added the help wanted Extra attention is needed label Nov 21, 2023
@vbaros
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vbaros commented Jan 12, 2024

Would be also nice to see how much more efficient is ANE comparing to GPU since running on a GPU eats the battery quite fast.

@laurentVeliscek
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Using SD 2.1, / coreML, it seems that ANE is 1.79 x faster than GPU with my macbook Air M3...

and coreML is about 25% faster in comfyUI using coreML Sampler SDXL vs SDXL Ksampler (efficient)

https://github.com/huggingface/swift-coreml-diffusers/issues/31

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