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llm-speed
wrapped·Oct 14, 2026
/r/r_2np7abzjobe
your run

llama3.1

137.3
tok/sdecode
RTX 4090 (24GB) + AMD EPYC 7642 48-Core Processor (48c) + 252GB
rank in tier
11/31RTX 4090 runstop 35%
best workload
chat-short
where the rig flew
slowest workload
chat-long129.2 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
  • glm-4.7-flash on RTX 3090134.6 tok/s
  • Qwen2.5-14B-Instruct on RTX 5090133.3 tok/s
  • Llama-3.1-8B-Instruct-4bit on M3 Ultra130.2 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.