Benchmark result
ornith-1.5-35b-apex on 2× AMD Radeon AI PRO R9700 — 148.8 tok/s
Measured with llama.cpp manual on November 13, 2026.
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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; the frame only adds a line that tells this page how tall it is.
How this run compares
2nd fastest of 3 runs of this model on 2× AMD Radeon AI PRO R9700 · Multi-GPU · median 148.8 tok/s.
sort
- 1150.4tok/s87.9llama.cpp
- 2148.8tok/s85.9llama.cppthis run
- 3132.4tok/s86.0llama.cpp
Reproduce this run
toolllama.cpp manual
modelornith-1.5-35b-apex
context65,536
clientv0.4.99+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "ornith-1.5-35b-apex" --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.