Apple M2 Max meets the minimum VRAM requirement for Q4 inference of google/gemma-2-9b-it. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M2 Max can run google/gemma-2-9b-it with Q4 quantization. At approximately 40 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 91GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 5GB | 96GB | 40.40 tok/s | ✅ Fits comfortably |
| Q8 | 10GB | 96GB | 29.27 tok/s | ✅ Fits comfortably |
| FP16 | 20GB | 96GB | 14.38 tok/s | ✅ Fits comfortably |