On the NVidia A100, the standard FP32 performance is 20 TFLOPs, but if you use the tensor cores and all the ML features available then it peaks out at 300+ TFLOPs. Not exactly your question, but a simple reference point.

Now the accelerator in the M1 is only 11 TFLOPs. So it’s definitely not trying to compete as an accelerator for training.