Model benchmarks
gemma4:12b local LLM performance
As of July 2026, gemma4:12b runs at up to 46.3 tok/s for local inference (best of 2 community benchmark runs across 0 GPUs).
OllamaQ4_K_M
Model size
11.9B
Peak speed
46.3 tok/s
Average speed
46.3 tok/s
Min memory
7.8 GB
Max context
5,347 tokens
Best quality
81.3
Benchmark runs
2
GPUs tested
0
Performance by hardware and tool
Every hardware/tool/quantization combination gemma4:12b has been benchmarked on, ranked by peak token generation speed. Last updated July 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| CPU only | Ollama | Q4_K_M | 46.3 tok/s | 46.3 tok/s | 7.8 GB | 5,347 tokens | 68.5 | 2 |
Frequently asked questions
- How fast is gemma4:12b for local inference?
- Across 2 community benchmark runs, gemma4:12b reaches up to 46.3 tok/s and averages 46.3 tok/s.
- How much memory does gemma4:12b need?
- The leanest observed configuration used about 7.8 GB of memory (quantizations tested: Q4_K_M).
- Which tools have been used to run gemma4:12b?
- Benchmarks were submitted using Ollama. Results are community-contributed and updated as new runs arrive.