Does this translate to other models or was whisper cherry picked due to it's serial nature and integer math? looking at https://github.com/ml-explore/mlx-examp

Does this translate to other models or was whisper cherry picked due to it's serial nature and integer math? looking at https://github.com/ml-explore/mlx-examples/tree/main/stable_diffusion https://github.com/ml-explore/mlx-examples/tree/main/stable_... seems to hint that this is the case: >At the time of writing this comparison convolutions are still some of the least optimized operations in MLX. I think the main thing at play is the fact you can have 64+G of very fast ram directly coupled to the cpu/gpu and the benefits of that from a latency/co-accessibility point of view. These numbers are certainly impressive when you look at the power packages of these systems. Worth considering/noting that the cost of m3 max system with the minimum ram config is ~2x the price of a 4090...