Apple M2 Max meets the minimum VRAM requirement for Q4 inference of google/embeddinggemma-300m. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M2 Max can run google/embeddinggemma-300m with Q4 quantization. At approximately 68 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 95GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 96GB | 67.59 tok/s | ✅ Fits comfortably |
| Q8 | 1GB | 96GB | 44.72 tok/s | ✅ Fits comfortably |
| FP16 | 1GB | 96GB | 24.39 tok/s | ✅ Fits comfortably |