Compatibility Check
Can I Run Gemma 3n E2B on Apple M1 Pro (16-core GPU)?
Yes — Apple M1 Pro (16-core GPU) runs Gemma 3n E2B fully on GPU at the FP16 quantization.
Estimated ~50 tokens/sec on the FP16 quantization.
Full GPU
Best variant: FP16
Full GPU inference — 32 GB VRAM meets the 5.2 GB recommendation.
- GPU VRAM
- 32 GB
- Min VRAM (best fit)
- 4.6 GB
- Recommended VRAM
- 5.2 GB
- Estimated tok/s
- ~50
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Every Gemma 3n E2B quantization on Apple M1 Pro (16-core GPU)
Each row runs the compatibility engine against your VRAM, RAM, and the model's requirements.
| Quantization | File Size | Min VRAM | Rec VRAM | Context | Verdict | Estimated tok/s |
|---|---|---|---|---|---|---|
| Q4_K_M | 1 GB | 1.2 GB | 1.3 GB | 8K / 8K | Full GPU | ~160 |
| Q5_K_M | 1.3 GB | 1.5 GB | 1.7 GB | 8K / 8K | Full GPU | ~133.8 |
| Q8_0 | 2 GB | 2.3 GB | 2.6 GB | 8K / 8K | Full GPU | ~95.2 |
| FP16Best fit | 4 GB | 4.6 GB | 5.2 GB | 8K / 8K | Full GPU | ~50 |
Apple M1 Pro (16-core GPU) is solid pick for Gemma 3n E2B
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