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wrapped·Jul 01, 2026
/r/r_qr4srge34da
your run

Llama-3.1-8B-Instruct

on RTX 5090
229
tok/sdecode
RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB
rank in tier
12/165RTX 5090 runstop 7%
best workload
chat-short
where the rig flew
slowest workload
agent-trace210 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
  • stable-code-instruct-3b-4bit on M3 Ultra192 tok/s
  • DeepSeek-Coder-V2-Lite-Instruct-4bit on M3 Ultra168 tok/s
  • gpt-oss-20b-MXFP4-Q4 on M3 Ultra153 tok/s
share
229 tok/s on RTX 5090 running Llama-3.1-8B-Instruct — top 7% of RTX 5090 runs. Signed benchmark via llm-speed.
https://llm-speed.com/wrapped/r_qr4srge34da
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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.