llamaperf

Qwen3.5 9B

on M4 Pro 48GB · Rapid-MLX

Apple hardware
Oct 14, 2026
Throughput
198.4 t/s gen
Quant
4-bit (MLX)
MTP (Multi-Token Prediction)
on
System RAM
48 GB

Use cases

coding

Summary

User reports 198.4 t/s generation. Source evidence (verbatim): Source: https://rapidmlx.com/compare/mlx-lm # Mac mini M4 Pro48GB Qwen3.5-9B speculative whole-file edit benchmark First-party engine-author measurements October4,2026. Mac mini AppleM4 Pro 48GB unified RAM, macOS26.5.1, ACpower, idle before starts; core counts unknown. Qwen3.5-9B4-bit, Rapid-MLX0.15.6 with MTP plus prompt-lookup versus mlx-lm0.32.0 default nonspeculative server, both MLX0.32.3. Whole-file rename task: 198.4 tok/s decode. Comparison baseline: 46.4 tok/s; median of3fresh-server runs, two discarded warmups, temperature0, thinkingoff. Exact prompt/output counts, contextcapacity, residentRAM and MTPcompanion artifact unknown. Decode=(completiontokens-1)/(last-firststreamedchunk), not end-to-end or prefill. Copy-heavy task benefits from prompt lookup; do not generalize peak. Testedquant repo verified: https://huggingface.co/mlx-community/Qwen3.5-9B-4bit . Sourceversions.json identifies shortened revision8b2b98c; fullSHA unknown and revisiontree read returned generic toolerror. Sources: https://rapidmlx.com/compare/mlx-lm ; https://rapidmlx.com/blog/assets/vs-mlx-2026-10/versions.json ; https://rapidmlx.com/blog/assets/vs-mlx-2026-10/raw/manifest.json . Source author builds tested engine; rawmanifest links individual runs. Selected run is Rapid-MLX with MTP plus prompt-lookup, generation 198.4 tok/s. Baseline mlx-lm measurement is a separate run. Prefill speed unknown.