Skip to content
llm-speed
wrapped·Jul 02, 2026
/r/r_2r1p3w9ps7c
your run

r1

132
tok/sdecode
RTX 4090 (24GB) + AMD EPYC 75F3 32-Core Processor (64c) + 504GB
rank in tier
6/9RTX 4090 runstop 67%
best workload
agent-trace
where the rig flew
slowest workload
chat-long131 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
  • Llama-3.1-8B-Instruct-4bit on M3 Ultra130 tok/s
  • qwen3-coder-bench-32k on M4 Max113 tok/s
  • granite-8b-code-instruct-4bit on M3 Ultra112 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.