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llm-speed
wrapped·Oct 14, 2026
/r/r_ayy9rjgha5r
your run

Qwen3-32B

43.5
tok/sdecode
RTX 4090 (24GB) + AMD EPYC 7642 48-Core Processor (48c) + 252GB
rank in tier
29/31RTX 4090 runstop 94%
best workload
chat-short
where the rig flew
slowest workload
chat-long40.7 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
  • Qwen3.8-27B on RTX 309037.6 tok/s
  • Qwen2.5-32B-Instruct-4bit on M3 Ultra34.6 tok/s
  • Qwen2.5-Coder-32B-Instruct-4bit on M3 Ultra34.5 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.