wrapped·Jul 02, 2026
/r/r_fg77v2hhohbyour run
r1
on RTX 4090
134
tok/sdecode
RTX 4090 (24GB) + AMD EPYC 75F3 32-Core Processor (64c) + 504GB
rank in tier
5/9RTX 4090 runstop 56%
best workload
agent-trace
where the rig flew
slowest workload
chat-long132 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
- Qwen2.5-14B-Instruct on RTX 5090133 tok/s
- Llama-3.1-8B-Instruct-4bit on M3 Ultra130 tok/s
- qwen3-coder-bench-32k on M4 Max113 tok/s