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wrapped·Oct 16, 2026
/r/r_jfh0qkngw76
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gemma-4-12b-it-qat

on RTX 4090
97.7
tok/sdecode
RTX 4090 (24GB) + AMD EPYC 7642 48-Core Processor (48c) + 252GB
rank in tier
19/31RTX 4090 runstop 61%
best workload
chat-short
where the rig flew
slowest workload
chat-long86.3 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
  • gemma-2-9b-it-4bit on M3 Ultra89.5 tok/s
  • qwen3.6-agent-q6k-ctx128k on M5 Max88.3 tok/s
  • Nemotron-3.5-Bolt-74B-A9B-24GB on RTX 309087.8 tok/s
share
97.7 tok/s on RTX 4090 running gemma-4-12b-it-qat — top 61% of RTX 4090 runs. Signed benchmark via llm-speed.
https://llm-speed.com/wrapped/r_jfh0qkngw76
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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.