docs/mlx-lm-apple-m4.md

MLX-LM, Apple M4

Qwen3-0.6B, warm, batch 1, 6 interleaved runs.

Axisvllm.cppMLX-LMRatio
Prefill TTFT524.5 ms532.6 ms1.015x
Decode27.23 tok/s27.850.978x
Warm total24.37 tok/s24.960.976x

The 2.4% is a real gap, not noise: our spread was 0.12% and MLX-LM’s 0.34%. All of it sits in decode, 0.81 ms per token. Indicative rather than binding: two models, 18 of 75 ops native, and the 97.6% needs the optional MLX GEMM provider shape-gated to prefill (95.9% on the default build).