
Gemma 4 E4B on Apple M4 Pro (24GB Unified)
M4 Pro (24GB Unified) runs Gemma 4 E4B at Q8_0 — 25 tok/s. Usable on 24 GB VRAM — see full quantization options below.
Model Size
8B
Device VRAM
24 GB
Bandwidth
273 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Gemma 4 E4B on Apple M4 Pro (24GB Unified) at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 25 tok/s | 200ms | ✓ Yes | Acceptable | estimated |
Notes
Q8_0
8.0B model. Q8_0 8.03GB on 24GB apple_silicon.
About Gemma 4 E4B
Gemma 4 E4B (8B) is a chat, coding, reasoning model. Gemma 4's mid-range edge model. 8B total parameters with 4.5B effective. Full multimodal: text, image, audio, and video. 52% LiveCodeBench v6 and 42.5% AIME 2026 put its reasoning and coding above most models at this size. Fits comfortably on 8 GB GPUs at Q4_K_M. Apache 2.0 licensed.
View all Gemma 4 E4B hardware options →About Apple M4 Pro (24GB Unified)
Apple M4 Pro (24GB Unified) has 24 GB at 273 GB/s. Available in MacBook Pro 14", MacBook Pro 16", Mac Mini.
See all models Apple M4 Pro (24GB Unified) can run →Estimate method: Estimated from model architecture, quantization size, and device bandwidth. Reference hardware source: huggingface.co (2026-04-04)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.