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wrapped·Jul 01, 2026
/r/r_v983y0y3r2u
your run

Qwen2.5-Coder-32B-Instruct

on RTX 5090
71.0
tok/sdecode
RTX 5090 (32GB) + AMD Ryzen 7 9850X3D 8-Core Processor (8c) + 30GB
rank in tier
86/165RTX 5090 runstop 52%
best workload
concurrent-decode
where the rig flew
slowest workload
chat-short67.4 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
  • Qwen2.5-14B-Instruct-4bit on M3 Ultra70.9 tok/s
  • Qwen2.5-Coder-14B-Instruct-4bit on M3 Ultra70.5 tok/s
  • starcoder2-15b-4bit on M3 Ultra64.2 tok/s
share
71.0 tok/s on RTX 5090 running Qwen2.5-Coder-32B-Instruct — top 52% of RTX 5090 runs. Signed benchmark via llm-speed.
https://llm-speed.com/wrapped/r_v983y0y3r2u
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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.