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llm-speed
← raw run
wrapped·Jul 02, 2026
/r/r_3kmrc135e0e
your run

gemma3

on RTX 4090
92.7
tok/sdecode
RTX 4090 (24GB) + AMD EPYC 7443 24-Core Processor (24c) + 252GB
rank in tier
8/12RTX 4090 runstop 67%
best workload
chat-short
where the rig flew
slowest workload
chat-long87.6 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-4bit on M3 Ultra89.5 tok/s
  • Qwen3-Next-80B-A3B-Instruct-MLX-4bit on M3 Ultra80.3 tok/s
  • phi-4-4bit on M3 Ultra74.4 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.