Model benchmarks
google/gemma-4-12b-qat local LLM performance
As of July 2026, google/gemma-4-12b-qat runs at up to 65.9 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
LM Studio
Model size
12B
Peak speed
65.9 tok/s
Average speed
64.2 tok/s
Min memory
6.7 GB
Max context
6,881 tokens
Best quality
86.6
Benchmark runs
2
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination google/gemma-4-12b-qat 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 |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 4070 Ti SUPER | LM Studio | — | 65.9 tok/s | 64.2 tok/s | 6.7 GB | 6,881 tokens | 71.3 | 2 |
Frequently asked questions
- How fast is google/gemma-4-12b-qat for local inference?
- Across 2 community benchmark runs, google/gemma-4-12b-qat reaches up to 65.9 tok/s and averages 64.2 tok/s, with the fastest results on NVIDIA GeForce RTX 4070 Ti SUPER.
- How much memory does google/gemma-4-12b-qat need?
- The leanest observed configuration used about 6.7 GB of memory.
- Which tools have been used to run google/gemma-4-12b-qat?
- Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.