llamaperf

MLX on the M5 Max 128GB

On the M5 Max 128GB, MLX runs Nex-N2.5-mini 35B · 3B active at 4-bit at a median 133.6 tokens per second for generation, from 1 plain run (context not stated).

Speed by model on the M5 Max 128GB

Plain runs only: one device, one request, no speculative decoding, the whole model in memory. Each row is one model size at one bit class, with the other engines' plain runs of the same model on this card beside it. Context length and build still differ between runs, and each side shows its own.

ModelMLXOther engines
Nex-N2.5-mini 35B · 3B active 4-bit133.6 t/sone report, context not statedno other engine reported
Qwen3 30B · 3.3B active 4-bit144.4 t/sone report, context not statedno other engine reported
Qwen3.6 27B 8-bit17.2 t/sone report, 125K to 290K contextno other engine reported

5 MLX reports on the M5 Max 128GB

Newest first. A run on several cards, with speculative decoding, with part of the model in system RAM or with batched requests says so, since each describes a different setup.

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Frequently asked

How fast is MLX on the M5 Max 128GB?

On the M5 Max 128GB, MLX runs Nex-N2.5-mini 35B · 3B active at 4-bit at a median 133.6 tokens per second for generation, from 1 plain run (context not stated).