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llm-speed
← raw run
wrapped·Jun 27, 2026
/r/r_40h1dznuznk
your run

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
  • llama3.2 on M1 Pro103 tok/s
  • Codestral-22B-v0.1 on RTX 5090100 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.