Gemma 4 31B on Apple M4 Pro (24GB Unified)

M4 Pro (24GB Unified) runs Gemma 4 31B at Q4_K_M — 10 tok/s due to limited memory bandwidth. Slow but functional — see all options below.

Model Size

30.7B

Device VRAM

24 GB

Bandwidth

273 GB/s

Quantization

Q4_K_M

Benchmarks

Performance by Quantization

OwnRig currently has one published compatibility entry for Gemma 4 31B on Apple M4 Pro (24GB Unified) at Q4_K_M. This is the best supported pairing we can stand behind today.

Quantization	Speed	TTFT	Fits in VRAM	Rating	Confidence
Q4_K_M	10 tok/s	400ms	✓ Yes	Marginal	estimated

Notes

Q4_K_M

30.7B model. Q4_K_M 19.6GB on 24GB apple_silicon.

About Gemma 4 31B

Gemma 4 31B (30.7B) is a chat, coding, reasoning, multi-purpose model. Google's flagship open-weight model. Dense 30.7B parameters with 256K context. Benchmarks: 89.2% AIME 2026, 85.2% MMLU Pro, 84.3% GPQA Diamond, 80.0% LiveCodeBench v6, 86.4% agentic tool use. Supports text, image, and video input. Fits on a single RTX 4090 at Q4 or dual 16 GB GPUs. Direct successor to Gemma 3 27B with substantially better reasoning. Apache 2.0 licensed.

View all Gemma 4 31B 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.