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llm-speed
wrapped·Jul 02, 2026
/r/r_73tnfdueq2h
your run

qwen2.5-coder

89.5
tok/sdecode
RTX 4090 (48GB) + AMD EPYC 7763 64-Core Processor (128c) + 1008GB
rank in tier
3/3RTX 4090 runs
best workload
chat-short
where the rig flew
slowest workload
chat-long83.8 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
  • Qwen3-Next-80B-A3B-Instruct-MLX-4bit on M3 Ultra80.3 tok/s
  • phi-4-4bit on M3 Ultra74.4 tok/s
  • Qwen3.6-27B-Q4_K_M.gguf on RTX 509074.0 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.