Apple's M1 Pro and M1 Max are faster than Google Colab (machine learning speed test)

Let’s see how Apple’s new M1 Pro and M1 Max deal with various machine learning workloads.

Blog post with results – https://www.mrdbourke.com/m1-pro-m1-max-machine-learning-speed-test-comparison
Code on GitHub – https://github.com/mrdbourke/m1-machine-learning-test
Setup your M1 Mac for machine learning video – https://youtu.be/_1CaUOHhI6U

Links:
Learn ML (beginner-friendly courses I teach) – https://www.mrdbourke.com/ml-courses/
ML courses/books I recommend – https://www.mrdbourke.com/ml-resources/
Read my novel Charlie Walks – https://www.charliewalks.com

Connect elsewhere:
Web – https://dbourke.link/web
Twitter – https://www.twitter.com/mrdbourke
Twitch – https://www.twitch.tv/mrdbourke
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Timestamps:
0:00 – Intro
0:47 – Different Mac models we’re testing
2:02 – Different experiments run across machines
2:51 – Final Cut Pro Large video H264 encoding export results
3:53 – Final Cut Pro Large video ProRes encoding export results
5:34 – Final Cut Pro Small video H264 encoding export results
6:10 – Final Cut Pro Small video ProRes encoding export results
7:04 – CreateML Image Classification model training results
9:02 – TensorFlow CIFAR10 & TinyVGG model training results
10:47 – TensorFlow Food101 & EfficientNetB0 feature extractor model training results
12:30 – Summary and recommendations

#MachineLearning #MacBookPro

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