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llm-speed
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wrapped·Jul 02, 2026
/r/r_h1ub_1uxzdh
your run

llama3.1

on RTX 4090
154
tok/sdecode
RTX 4090 (48GB) + AMD EPYC 7763 64-Core Processor (128c) + 1008GB
rank in tier
2/3RTX 4090 runs
best workload
chat-short
where the rig flew
slowest workload
chat-long146 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
  • gemma-2-9b-it on RTX 5090153 tok/s
  • gpt-oss-20b-MXFP4-Q4 on M3 Ultra153 tok/s
  • phi-4 on RTX 5090141 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.