L
localai.computer
ModelsGPUsSystemsAI SetupsBuildsOpenClawMethodology

Resources

  • Methodology
  • Submit Benchmark
  • About

Browse

  • AI Models
  • GPUs
  • PC Builds

Guides

  • OpenClaw Guide
  • How-To Guides

Legal

  • Privacy
  • Terms
  • Contact

© 2025 localai.computer. Hardware recommendations for running AI models locally.

ℹ️We earn from qualifying purchases through affiliate links at no extra cost to you. This supports our free content and research.

Can Apple M2 Max run microsoft/Phi-3.5-mini-instruct?

Runs Q496GB VRAM availableRequires 4GB+

Apple M2 Max meets the minimum VRAM requirement for Q4 inference of microsoft/Phi-3.5-mini-instruct. 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 microsoft/Phi-3.5-mini-instruct with Q4 quantization. At approximately 59 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 92GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q44GB96GB58.52 tok/s✅ Fits comfortably
Q87GB96GB40.19 tok/s✅ Fits comfortably
FP1615GB96GB21.41 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
710.97 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
656.80 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
540.63 tok/s
Price: —
AMD Instinct MI300X
192GB
518.07 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
502.39 tok/s
Price: —

More questions

Apple M2 Max specs & pricingFull guide for microsoft/Phi-3.5-mini-instructmicrosoft/Phi-3.5-mini-instruct speed on Apple M2 Maxmicrosoft/Phi-3.5-mini-instruct Q4 requirements