https://github.com/tcapelle/apple_m1_pro_python
A collection of ML scripts to test the M1 Pro MacBook Pro
https://github.com/tcapelle/apple_m1_pro_python
Last synced: 2 months ago
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A collection of ML scripts to test the M1 Pro MacBook Pro
- Host: GitHub
- URL: https://github.com/tcapelle/apple_m1_pro_python
- Owner: tcapelle
- Created: 2021-11-19T09:02:35.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-06-21T13:57:56.000Z (about 2 years ago)
- Last Synced: 2025-05-07T04:08:36.632Z (2 months ago)
- Language: Jupyter Notebook
- Size: 571 KB
- Stars: 169
- Watchers: 4
- Forks: 42
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Apple Silicon DL benchmarks
Currently we have PyTorch and Tensorflow that have Metal backend.
## Results
Varied results across frameworks:
- [Apple M1Pro Pytorch Training Results](https://wandb.me/pytorch_m1)
- [Apple M1Pro Tensorflow Training Results](https://wandb.me/m1pro)### Tensorflow Resnet50:
### PyTorch Resnet50:
- Difference between CPU and GPU

- Comparing with Nvidia
### PyTorch Bert
- Running a Bert from Huggingface
## Pytorch
We have official PyTorch support! check [pytorch](pytorch) folder to start running your benchmarks## Tensorflow
You can run tensorflow benchmarks by going to the [tensorflow](tensorflow) folder.