Gemma 4 E2B on Apple M3 Pro (18GB Unified)

M3 Pro (18GB Unified) runs Gemma 4 E2B at Q8_0 — 22 tok/s. Usable on 18 GB VRAM — see full quantization options below.

Model Size

5.1B

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 E2B 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	22 tok/s	200ms	✓ Yes	Acceptable	estimated

Notes

Q8_0

5.1B model. Q8_0 4.97GB on 18GB apple_silicon.

About Gemma 4 E2B

Gemma 4 E2B (5.1B) is a chat, coding model. Gemma 4's compact edge model. 5.1B total parameters with 2.3B effective via Per-Layer Embeddings. Supports text, image, audio, and video input. Runs on practically any dedicated GPU with 4 GB of VRAM or more. Successor to Gemma 3 4B with measurably better reasoning and multimodal capabilities. Apache 2.0 licensed.

View all Gemma 4 E2B 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.