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llm-speed
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wrapped·Jul 02, 2026
/r/r_9hurqggbshk
your run

llama3.1

on RTX 3090
136
tok/sdecode
RTX 3090 (24GB) + AMD EPYC 7663 56-Core Processor (56c) + 252GB
rank in tier
3/4RTX 3090 runs
best workload
chat-short
where the rig flew
slowest workload
agent-trace127 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
  • Qwen2.5-14B-Instruct on RTX 5090133 tok/s
  • Llama-3.1-8B-Instruct-4bit on M3 Ultra130 tok/s
  • qwen3-coder-bench-32k on M4 Max113 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.