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Can the Apple M2 Pro (32 GB) run Phi-4 Reasoning Vision 15B?

78 ptsGreat (A) · 78 of 100 points: Model quality 29.9/45, Memory fit 25.0/25, Speed 8.9/15, Memory use 14.2/15

Yes, it runs well

Runs well. At Q4_K_M it needs about 13.2 GB of 21.4 GB usable, with an estimated speed of 14.0 tok/s.

Best quant
Q4_K_M
Generation speed
14.0 tok/s
Prompt processing
279 tok/s
First token (1K prompt)
3.7 s
Largest safe context
32K

Download Phi-4 Reasoning Vision 15B

Original weights · Hugging Face

Full-precision files from Microsoft, for fine-tuning, vLLM, Transformers.

huggingface.co/microsoft/Phi-4-reasoning-vision-15B (opens in a new tab)

No sign-in needed.

Links checked 6 days ago against Hugging Face, Ollama and GitHub.

How the A grade is scored

Every result gets up to 100 points from four parts. The points decide the letter grade.

Model qualityEditorial quality tier of the model, scaled by the quantization or precision used.29.9 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.25.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.8.9 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.14.2 / 15
Total78.0 / 10078 ptsGreat (A) · 78 of 100 points: Model quality 29.9/45, Memory fit 25.0/25, Speed 8.9/15, Memory use 14.2/15

Grade scale: S 85+ · A 72+ · B 58+ · C 42+ · D 25+ · F under 25 points.

Every quantization on the Apple M2 Pro (32 GB)

Quant Memory needed Available Speed Fit Grade · points Download
Q2_K 10.0 GB 21.4 GB 23.0 tok/s Runs well 69 ptsGood (B) · 69 of 100 points: Model quality 22.1/45, Memory fit 25.0/25, Speed 11.4/15, Memory use 10.8/15 All files (opens in a new tab)
Q3_K_M 11.4 GB 21.4 GB 18.1 tok/s Runs well 73 ptsGreat (A) · 73 of 100 points: Model quality 26.5/45, Memory fit 25.0/25, Speed 10.1/15, Memory use 12.3/15 All files (opens in a new tab)
Q4_K_M 13.2 GB 21.4 GB 14.0 tok/s Runs well 78 ptsGreat (A) · 78 of 100 points: Model quality 29.9/45, Memory fit 25.0/25, Speed 8.9/15, Memory use 14.2/15 All files (opens in a new tab)
Q5_K_M 14.7 GB 21.4 GB 11.6 tok/s Runs well 78 ptsGreat (A) · 78 of 100 points: Model quality 30.6/45, Memory fit 25.0/25, Speed 8.1/15, Memory use 15.0/15 All files (opens in a new tab)
Q6_K 16.4 GB 21.4 GB 9.7 tok/s Runs well 78 ptsGreat (A) · 78 of 100 points: Model quality 31.2/45, Memory fit 25.0/25, Speed 7.4/15, Memory use 15.0/15 All files (opens in a new tab)
Q8_0 20.0 GB 21.4 GB 7.1 tok/s Tight fit 76 ptsGreat (A) · 76 of 100 points: Model quality 31.5/45, Memory fit 24.0/25, Speed 6.3/15, Memory use 15.0/15 All files (opens in a new tab)
F16 34.2 GB 21.4 GB — Won't run 9 ptsWon't run (F) · 9 of 100 points: Model quality 9.5/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15 Original weights (opens in a new tab)

Memory figures assume 8K of context. Longer conversations or documents grow the KV cache.

Other hardware that runs it

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.