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Can Apple M2 Max run google/embeddinggemma-300m?

Runs Q496GB VRAM availableRequires 1GB+

Apple M2 Max meets the minimum VRAM requirement for Q4 inference of google/embeddinggemma-300m. 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/embeddinggemma-300m with Q4 quantization. At approximately 68 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
Q41GB96GB67.59 tok/s✅ Fits comfortably
Q81GB96GB44.72 tok/s✅ Fits comfortably
FP161GB96GB24.39 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
970.37 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
849.23 tok/s
Price: —
AMD Instinct MI250X
128GB
605.34 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
597.05 tok/s
Price: —
AMD Instinct MI300X
192GB
587.69 tok/s
Price: —

More questions

Apple M2 Max specs & pricingFull guide for google/embeddinggemma-300mgoogle/embeddinggemma-300m speed on Apple M2 Maxgoogle/embeddinggemma-300m Q4 requirements