Maybe, but most of these comparisons are based on GPU performance (ie. games). For other workloads like machine learning, Tensor cores on NVIDIA GPUs will blow Apple Silicon GPUs out of the water. The M2 Ultra is 27 TFLOPS. The 4080't Tensor Cores are 48.7 TFLOPS in FP32, 194.9 TFLOPS in FP16, 389.9 TFLOPS in FP8 with FP16 accumulate. (IIRC on Apple Silicon GPUs FP16 performance is roughly the same as FP32.)
(There is the Neural Engine which supports lower precision, but it limited in various ways.)
Regardless, the strides that Apple has been making are impressive.
(There is the Neural Engine which supports lower precision, but it limited in various ways.)
Regardless, the strides that Apple has been making are impressive.