Skip to content
llm-speed
wrapped·Jul 02, 2026
/r/r_wjq32z47vlp
your run

qwen3-coder

180
tok/sdecode
RTX 4090 (24GB) + AMD EPYC 7352 24-Core Processor (24c) + 252GB
rank in tier
1/7RTX 4090 runstop 14%
best workload
concurrent-decode
where the rig flew
slowest workload
chat-short145 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
  • DeepSeek-Coder-V2-Lite-Instruct-4bit on M3 Ultra168 tok/s
  • gemma-2-9b-it on RTX 5090153 tok/s
  • gpt-oss-20b-MXFP4-Q4 on M3 Ultra153 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.