With all the new technologies, torch.compile is able to work 93% of time across 165 open-source models and runs 20% faster on average at float32 precision and 36% faster on average at AMP precision. 
For more information, please refer to https://pytorch.org/get-started/pytorch-2.0/ and for TorchInductor CPU with Intel here.
[Beta] PyTorch MPS Backend
MPS backend provides GPU-accelerated PyTorch training on Mac platforms. This release brings improved correctness, stability, and operator coverage.