Google Embeddinggemma 300M speed on Apple M4 Max and quantization-level VRAM fit.
Apple M4 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 M4 Max can run Google Embeddinggemma 300M with Q4 quantization. At approximately 88 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 127GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 128GB | 87.88 tok/s | ✅ Fits comfortably |
| Q8 | 1GB | 128GB | 61.52 tok/s | ✅ Fits comfortably |
| FP16 | 1GB | 128GB | 33.40 tok/s | ✅ Fits comfortably |
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Apple M4 Max can run Google Embeddinggemma 300M at Q4 with an estimated 88 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while Apple M4 Max has 128GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.