[pbronez]

Cool, but it looks like it doesn’t actually test anything on your machine? It does hardware detection and then some lookups. Maybe I missed it but I really want a tool like this to actually run a model on my machine to get the speed numbers.

I’ve been using RapidMLX for this. The integrated speed tests matter because the quality of the backend is a moving target and the quantization / MLX format conversion also matter. It’s not enough to say “oh use this model family with X parameters” you have to add the architecture specific quantization too.

https://github.com/raullenchai/Rapid-MLX

[andyyyy64]

You're right that it doesn't run anything — it's a pre-download / pre-purchase decision tool, so it estimates rather than measures by design (you can simulate a GPU you don't own with --gpu). That's a genuine limitation vs running the model: a measured t/s on your exact backend/quant will always beat my estimate. The estimate is bandwidth-bound, per-quant and per-backend, and deliberately conservative on VRAM (weights + GQA-aware KV + activation) so it errs toward "won't fit" rather than crashing you mid-run. Where I can get real measurements I fold them in — calibration data / PRs for specific hardware are very welcome; that's the path to numbers you can trust rather than just plausible ones. On-device measurers like RapidMLX are complementary, a different point in the workflow.