wrapped·Oct 17, 2026
/r/r_dwp5fgdapmwyour run
gpt-oss-20b
on RTX 5090
324.2
tok/sdecode
RTX 5090 (32GB) + AMD EPYC 7543 32-Core Processor (120c) + 945GB
rank in tier
3/183RTX 5090 runstop 2%
best workload
chat-short
where the rig flew
slowest workload
chat-long311.0 tok/s
where the rig struggled
backend
llama.cppllama.cpp is the universal backend — broad model support, modest speed ceiling.
faster than
- Qwen2.5-0.5B-Instruct-4bit on M3 Pro286.5 tok/s
- LFM2.5-24B-A2B on RTX 4090236.8 tok/s
- Qwen3-Coder-30B-A3B-Instruct on RTX 4090232.5 tok/s