Gemma 4 E4B on Apple M3 Pro (18GB Unified)

M3 Pro (18GB Unified) runs Gemma 4 E4B at Q8_0 — 14 tok/s due to limited memory bandwidth. Slow but functional — see all options below.

Model Size

Device VRAM

18 GB

Bandwidth

150 GB/s

Quantization

Q8_0

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Gemma 4 E4B on Apple M3 Pro (18GB 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	14 tok/s	400ms	✓ Yes	Marginal	estimated

Notes

Q8_0

8.0B model. Q8_0 8.03GB on 18GB 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 M3 Pro (18GB Unified)

Apple M3 Pro (18GB Unified) has 18 GB at 150 GB/s. Available in MacBook Pro 14", MacBook Pro 16".

See all models Apple M3 Pro (18GB 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.