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llm-speed
wrapped·Oct 16, 2026
/r/r_19f64yux97o
your run

Llama-3.3-70B-Instruct

on A40
13.0
tok/sdecode
A40 (45GB) + Intel(R) Xeon(R) Gold 6342 CPU @ 2.80GHz (48c) + 504GB
rank in tier
1/1A40 runs
best workload
chat-short
where the rig flew
slowest workload
chat-long12.7 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
  • Qwen3-32B-4bit on M3 Pro7.2 tok/s
  • Qwen2.5-32B-Instruct-4bit on M3 Pro7.1 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.