Apple Announces Mac-optimized Version Of TensorFlow 2.4

The new M1 chip and Mac-optimized version of TensorFlow 2.4 along with the new ML Compute framework enables you to leverages the full power of the Mac with a huge jump in performance.

Recently, Apple announced Mac-optimized version of TensorFlow 2.4 and the new ML Compute framework. The new M1 chip, and Mac-optimized version of TensorFlow 2.4 leverages the full power of the Mac with a huge jump in performance.

Apple said that these improvements, along with with the ability of Apple developers being able to execute TensorFlow on iOS through TensorFlow Lite, continue to showcase TensorFlow’s breadth and depth in supporting high-performance ML execution on Apple hardware.  Apple’s new framework, ML Compute, that powers training for TensorFlow models right on the Mac, lets you take full advantage of accelerated CPU and GPU training on both M1- and Intel-powered Macs.

Source: Apple

According to Apple, the M1 chip contains a powerful new 8-Core CPU and up to 8-core GPU that are optimized for ML training tasks right on the Mac. Mac-optimized TensorFlow 2.4 delivers big performance increases on both M1- and Intel-powered Macs with popular models.

Users do not need to make any changes to their existing TensorFlow scripts to use ML Compute as a backend for TensorFlow and TensorFlow Addons.



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