Benchmark result
gemma4:12b on NVIDIA RTX 3500 Ada Generation Laptop GPU — 47.7 tok/s
Measured with Ollama 0.40.15 on November 12, 2026.
Support llm-bench.io
llm-bench.io is free. If it helped you, I'd appreciate your support to cover the infrastructure costs.
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
6th fastest of 7 runs of this model on NVIDIA RTX 3500 Ada Generation Laptop GPU · median 48.9 tok/s.
sort
Compare the nearest 5 →
Reproduce this run
toolOllama 0.40.15
modelgemma4:12b (Q4_K_M)
context16,384
samplingtemperature 1 · top_p 0.95 · top_k 64
clientv0.4.99+102
Set those in Ollama, then:
llm-benchmark benchmark --model "gemma4:12b" --tool "Ollama"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.