Apple M3 Machine Learning Speed Test (M1 Pro vs M3, M3 Pro, M3 Max)

Daniel Bourke · Beginner ·📰 AI News & Updates ·2y ago
I put the latest Apple Silicon Macs (M3, M3 Pro, M3 Max) M3 series Macs through a series of machine learning speed tests with PyTorch and TensorFlow. Code on GitHub - https://github.com/mrdbourke/mac-ml-speed-test Blog post write up - https://www.mrdbourke.com/apple-m3-machine-learning-test/ Learn ML (taught by me) - https://www.mrdbourke.com/ml-courses/ Links mentioned: MLX framework by Apple - https://github.com/ml-explore/mlx llama-cpp-python - https://github.com/abetlen/llama-cpp-python Other links: Download Nutrify for iOS - https://www.nutrify.app Learn AI/ML (beginner-friendly course) - https://dbourke.link/ZTMMLcourse Learn TensorFlow - https://dbourke.link/ZTMTFcourse Learn PyTorch - https://dbourke.link/ZTMPyTorch AI/ML courses/books I recommend - https://www.mrdbourke.com/ml-resources/ Read my novel Charlie Walks - https://www.charliewalks.com Connect elsewhere: Web - https://www.mrdbourke.com Twitter - https://www.twitter.com/mrdbourke LinkedIn - https://www.linkedin.com/in/mrdbourke/ ArXiv channel (past streams) - https://dbourke.link/archive-channel Get email updates on my work - https://dbourke.link/newsletter Timestamps: 0:00 - Intro 0:33 - What to look for in a PC for ML 1:09 - Machines that we’re testing (M1 Pro, M3, M3 Pro, M3 Max, Nvidia TITAN RTX, Google Colab) 1:48 - Models and memory requirements 2:22 - My machine learning workflow 2:39 - Experiments we’re running 3:14 - Resources 3:58 - PyTorch ResNet50 CIFAR100 results 6:10 - PyTorch ResNet50 Food101 results 8:21 - PyTorch DistilBERT IMDB results 10:32 - TensorFlow ResNet50 CIFAR100 results 12:19 - TensorFlow ResNet50 Food101 results 13:30 - TensorFlow SmallTransformer IMDB results 14:55 - Llama CPP Python results 16:30 - Geekbench ML results 19:24 - Discussion 21:09 - Recommendations for ML 23:00 - Extras #machinelearning #m3
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Chapters (18)

Intro
0:33 What to look for in a PC for ML
1:09 Machines that we’re testing (M1 Pro, M3, M3 Pro, M3 Max, Nvidia TITAN RTX, Goo
1:48 Models and memory requirements
2:22 My machine learning workflow
2:39 Experiments we’re running
3:14 Resources
3:58 PyTorch ResNet50 CIFAR100 results
6:10 PyTorch ResNet50 Food101 results
8:21 PyTorch DistilBERT IMDB results
10:32 TensorFlow ResNet50 CIFAR100 results
12:19 TensorFlow ResNet50 Food101 results
13:30 TensorFlow SmallTransformer IMDB results
14:55 Llama CPP Python results
16:30 Geekbench ML results
19:24 Discussion
21:09 Recommendations for ML
23:00 Extras
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