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llm-speed
← raw run
wrapped·Jun 27, 2026
/r/r_r0di2hkku1h
your run

qwen3-coder

on M4 Max
110
tok/sdecode
M4 Max (40-core GPU) + 128GB unified
rank in tier
2/5M4 Max runstop 40%
best workload
concurrent-decode
where the rig flew
slowest workload
chat-short94.5 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.