Gemma 4 E2B on Apple M4 (16GB Unified)

M4 (16GB Unified) runs Gemma 4 E2B at Q8_0 — 18 tok/s. Usable on 16 GB VRAM — see full quantization options below.

Model Size

5.1B

Device VRAM

16 GB

Bandwidth

120 GB/s

Quantization

Q8_0

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Gemma 4 E2B on Apple M4 (16GB 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	18 tok/s	400ms	✓ Yes	Acceptable	estimated

Notes

Q8_0

5.1B model. Q8_0 4.97GB on 16GB 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 M4 (16GB Unified)

Apple M4 (16GB Unified) has 16 GB at 120 GB/s. Available in Mac Mini, MacBook Pro 14", MacBook Air 13", MacBook Air 15", iPad Pro.

See all models Apple M4 (16GB 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.