Compatibility Check
Can I Run Gemma 3n E4B on Apple M1 Pro (16-core GPU)?
Yes — Apple M1 Pro (16-core GPU) runs Gemma 3n E4B fully on GPU at the FP16 quantization.
Estimated ~25 tokens/sec on the FP16 quantization.
Full GPU
Best variant: FP16
Full GPU inference — 32 GB VRAM meets the 10.4 GB recommendation.
- GPU VRAM
- 32 GB
- Min VRAM (best fit)
- 9.2 GB
- Recommended VRAM
- 10.4 GB
- Estimated tok/s
- ~25
Share this matchup
Send this page so a friend can see if Apple M1 Pro (16-core GPU) fits Gemma 3n E4B.
Every Gemma 3n E4B 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 | 2 GB | 2.3 GB | 2.6 GB | 8K / 8K | Full GPU | ~80 |
| Q5_K_M | 2.5 GB | 2.9 GB | 3.3 GB | 8K / 8K | Full GPU | ~69.6 |
| Q8_0 | 4 GB | 4.6 GB | 5.2 GB | 8K / 8K | Full GPU | ~47.6 |
| FP16Best fit | 8 GB | 9.2 GB | 10.4 GB | 8K / 8K | Full GPU | ~25 |
Apple M1 Pro (16-core GPU) is solid pick for Gemma 3n E4B
Need second card or fresh build? These links help support site at no extra cost.