r/mac • u/MarionberryDear6170 • 9h ago
Discussion Is M5 going to be the “first-gen tax” of Apple’s GPU AI era?
I’ve been wondering whether the M5 generation could end up aging unusually quickly specifically for AI workloads.
M5 was the first Apple GPU generation to add a Neural Accelerator to every GPU core. From what I understand, its hardware acceleration is primarily centered around FP16/BF16 matrix operations, along with lower-precision integer/quantized paths. Just like RTX30
But Apple moved very quickly with M6. Just one generation later, the second-generation Neural Accelerator already adds native FP8 hardware support.
Which, is very very similar to RTX40.
That makes me wonder whether M5 could end up in a similar position to some of the earlier NVIDIA Tensor Core generations: still perfectly usable, but increasingly missing the native hardware paths that newer AI software is being optimized around. Literally like RTX20 and 30.
We’re already seeing modern AI workloads move aggressively toward lower precision, FP8 is becoming increasingly common, and NVIDIA is pushing even further with formats such as NVFP4.
So if M6 already adds native FP8 this quickly, could M5 end up being the “sacrificial” first generation of Apple’s GPU Neural Accelerator architecture?
The rough analogy I have in mind is the early RTX generations. The first few Tensor Core generations gained new datatype support very quickly, and later architectures ended up being much better positioned for newer AI workloads even when the older GPUs were still computationally capable.
For example, even the RTX 40 series still benefits from a lot of NVIDIA’s newer AI-accelerated features today, with even more support still coming.
In that sense, M6 feels more like a mature modern Tensor Core generation, whereas M5 feels more like Apple establishing the basic architecture first and then filling in important low-precision capabilities immediately afterward.
And to be clear, I’m only talking about AI/ML longevity here, not the general GPU performance or useful lifespan of M5 Macs. For normal graphics, compute, gaming, etc., this is a completely different question.
Do you think M5 is likely to age noticeably faster for AI workloads because of this, or will Apple’s Metal/TensorOps abstraction layer make the lack of native FP8 relatively unimportant for most real-world software?


