Benchmark result
qwen3.8 27b on 2× AMD Radeon RX 7900 XT/7900 XTX/7900M — 51.3 tok/s
Measured with llama.cpp b10936-790cf51aa on September 14, 2026.
What the model built
Open full screen →The coding scenario asks for a playable game in a single HTML file. This is exactly what the model returned, unedited.
How this run compares
5th fastest of 5 runs of this model on 2× AMD Radeon RX 7900 XT/7900 XTX/7900M · Multi-GPU · median 51.9 tok/s.
sort
- 152.4tok/s84.4llama.cpp
- 252.0tok/s61.7llama.cpp
- 351.9tok/s86.3LM Studio
- 451.5tok/s44.7llama.cpp
- 551.3tok/s44.6llama.cppthis run
Reproduce this run
toolllama.cpp b10936-790cf51aa
modelqwen3.8 27b
context8,192
thinkingon
effortxhigh (model default)
samplingtemperature 1 · top_p 0.949999988079071 · top_k 20 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1
clientv0.4.59+97
Set those in llama.cpp, then:
llm-benchmark benchmark --model "qwen3.8 27b" --tool "llama.cpp"The client prompts for context length and thinking mode, and for the KV cache dtype on Unsloth Studio. Sampling is left at the model default — the values above are what the tool reported using, not overrides the client sent.