Benchmark result
Groot-19B-A3B-261023.APEX-I-MiniPlus-V2.1 on Intel Graphics — 20.5 tok/s
Measured with llama.cpp manual on November 2, 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; the frame only adds a line that tells this page how tall it is.
How this run compares
1st fastest of 4 runs of this model on Intel Graphics · median 19.9 tok/s.
sort
- 120.5tok/s76.5llama.cppthis run
- 220.2tok/s74.0llama.cpp
- 319.6tok/s78.8llama.cpp
- 417.7tok/s70.2llama.cpp:vulkan
Reproduce this run
toolllama.cpp manual
modelGroot-19B-A3B-261023.APEX-I-MiniPlus-V2.1
context200,000
thinkingon
samplingtemperature 0.6000000238418579 · top_p 0.949999988079071 · top_k 20 · min_p 0 · presence_penalty 0 · repeat_penalty 1
clientv0.4.98+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "Groot-19B-A3B-261023.APEX-I-MiniPlus-V2.1" --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.