doesitarm VS XNNPACK

The reason I want this resource is simple: Apple will eventually discontinue Rosetta 2. It may be five years, but it will happen, and I'd rather not buy games now that will be unplayable in a few years. I know doesitarm.com exists, but it doesn't seem very well maintained or organised for the Gaming sector specifically.

Comprehensive data on which apps natively support Apple Silicon seems to be lacking. This source says 54% of 3205 apps they tested have native M1 support, which would mean about 1730 apps have it.

https://github.com/ThatGuySam/doesitarm

I also built an interface for displaying the order of Marvel Movies and am growing it using Reddit and Google AMP Web Stories with regular features in Google Discover:

Why are you writing your own inference code in C++ or Rust instead of using some kind of established framework like XNNPACK?

XNNPACK - https://github.com/google/XNNPACK

Ok, concrete example time! At work, we're going to be using some software which includes XNNPACK, which is a library of highly-optimised operations for doing neural-network inference. This is the sort of thing where people have gone in and specifically tuned for performance, and nope, there's no attempt at all made to have code which is different for Intel/AMD or Apple/Other ARM. What they target is elements of the ISA, like NEON (i.e. ARM SIMD) and SSE, AVX etc. on x86(-64). And Wasm SIMD for Wasm.

It's quite simple. https://github.com/google/XNNPACK for example.