qwen3-coder

on M4 Max

109

tok/sdecode

M4 Max (40-core GPU) + 128GB unified

rank in tier

3/5M4 Max runstop 60%

best workload

concurrent-decode

where the rig flew

slowest workload

chat-short92.7 tok/s

where the rig struggled

backend

ollamaollama is llama.cpp under the hood; pure llama.cpp tends to nudge a few % faster.

faster than

Yi-Coder-9B-Chat-4bit on M3 Ultra104 tok/s
gemma-2-9b-it-4bit on M3 Ultra89.5 tok/s
Qwen3-Next-80B-A3B-Instruct-MLX-4bit on M3 Ultra80.3 tok/s

This is a shareable view of one signed llm-speed suite-suite-v1 run. Numbers are not edited. The raw record has every workload, the public key, and the fingerprint hash.