Earlier quoted context omitted.
Apple GPUs didn’t have tensor cores until the M5 (aka “a neural accelerator in each core”) and in the article’s charts that a M5 Pro significantly beats a M4 Max (while in other workloads it would be much smaller since Pro is ~1/2 Max). EDIT: since Aurornis beat me by 3 minutes, I’ll add another interesting tidbit instead :) NVIDIA tensor cores on consumer GPUs are massively less powerful per SM core than on their da…
Does that include stuff like the Pro Blackwell 6000? Or are the tensor cores as good per SM comparably? They perform quite well on many tests
Every Blackwell card other than the (G)B100, (G)B200, (G)B300 and Jetson Thor, use the Ampere tensor core instruction (mma.sync) but with fp4/6/8 added on. Beyond that the DGX Spark (which is advertised as having the same architecture as B200) has especially weak (not tcgen05) tensor cores that have a very narrow operating window and low utilization.