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 tencent/HunyuanOCR?

Runs Q496GB VRAM availableRequires 1GB+

Apple M2 Max meets the minimum VRAM requirement for Q4 inference of tencent/HunyuanOCR. 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 tencent/HunyuanOCR with Q4 quantization. At approximately 70 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
Q41GB96GB69.97 tok/s✅ Fits comfortably
Q82GB96GB48.32 tok/s✅ Fits comfortably
FP163GB96GB24.46 tok/s✅ Fits comfortably

Suitable alternatives

AMD Instinct MI300X
192GB
891.05 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
838.98 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
646.70 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
630.61 tok/s
Price: —
AMD Instinct MI300X
192GB
621.55 tok/s
Price: —

More questions

Apple M2 Max specs & pricingFull guide for tencent/HunyuanOCRtencent/HunyuanOCR speed on Apple M2 Maxtencent/HunyuanOCR Q4 requirements