Macs in Chemistry

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Python on Apple Silicon


A lot of people have been asking me about running data analysis on the new laptops with M1 chips. It looks like we are starting to see a few benchmarks appearing.

A recent blog post Are The New M1 Macbooks Any Good for Data Science? Let’s Find Out would suggest that the performance of the M1chip continues to impress.

Whilst all benchmarks come with caveats, some use "native" installations others require Rosetta

Python is approximately three times faster when run natively on a new M1 chip, Numpy looks to be slightly slower, Pandas is twice as fast, SciKit-Learn is twice as fast.

Instructions for installing TensorFlow 2.4 on Apple Silicon M1: installation under Conda environment have also been reported.

PyCharm, JetBrains’ IDE for Python development, now supports Apple Silicon M1 processors.

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