Want to address the same issue. Two Apple Silicon computers. Mac Studio and MBP. The only difference is the new OS. They were performing almost identical to each other before upgrade to Sonoma. Now the latter OS gives 5-6 times slower performance on the same Python code. And it looks like it is lack of GPU use making most of the difference.
Apple... seriously... why?!?
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Same problem here.
Running:
tensorflow-macos 2.6.0
tensorflow-metal 0.1.1
Making Mac Studio with Somona using 20-40% GPU, as for MBP with Ventura using 80-90% GPU, on same code. And the Mac Studio with Somona 6-7 times slower!