Google Gemma 2 2B It speed on Intel Arc A770 16GB and quantization-level VRAM fit.
Intel Arc A770 16GB meets the minimum VRAM requirement for Q4 inference of Google Gemma 2 2B It. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Intel Arc A770 16GB can run Google Gemma 2 2B It with Q4 quantization. At approximately 104 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 14GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 16GB | 103.50 tok/s | ✅ Fits comfortably |
| Q8 | 3GB | 16GB | 72.45 tok/s | ✅ Fits comfortably |
| FP16 | 6GB | 16GB | 39.33 tok/s | ✅ Fits comfortably |
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Intel Arc A770 16GB can run Google Gemma 2 2B It at Q4 with an estimated 104 tok/s.
Q4 inference is estimated to need about 2GB VRAM on this page, while Intel Arc A770 16GB has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.