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Can Apple M2 Max run google/gemma-3-1b-it?

Runs Q496GB VRAM availableRequires 1GB+

Apple M2 Max meets the minimum VRAM requirement for Q4 inference of google/gemma-3-1b-it. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

Apple M2 Max can run google/gemma-3-1b-it with Q4 quantization. At approximately 60 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 95GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q41GB96GB59.89 tok/s✅ Fits comfortably
Q81GB96GB49.59 tok/s✅ Fits comfortably
FP162GB96GB24.33 tok/s✅ Fits comfortably

Suitable alternatives

NVIDIA H200 SXM 141GB
141GB
867.01 tok/s
Price: —
AMD Instinct MI300X
192GB
862.96 tok/s
Price: —
AMD Instinct MI250X
128GB
625.75 tok/s
Price: —
AMD Instinct MI300X
192GB
623.48 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
601.71 tok/s
Price: —

More questions

Apple M2 Max specs & pricingFull guide for google/gemma-3-1b-itgoogle/gemma-3-1b-it speed on Apple M2 Maxgoogle/gemma-3-1b-it Q4 requirements