HunyuanImage 3.0 (80B-A13B) on Apple M1 Max (64 GB)

Can the Apple M1 Max (64 GB) run HunyuanImage 3.0 (80B-A13B)?

68 pts

Yes, it runs well

Runs well. At FP8 it needs about 32.8 GB of 48.0 GB usable, with an estimated speed of 10.5 min.

Best precision: FP8
Memory mode: Sequential CPU offload
Time per image: 10.5 min
Output: 1024×1024, 50 steps

Download HunyuanImage 3.0 (80B-A13B)

Original weights · Hugging Face

Full-precision files from Tencent, for fine-tuning, vLLM, Transformers, Diffusers or ComfyUI.

huggingface.co/tencent/HunyuanImage-3.0 (opens in a new tab)

No sign-in needed.

Official repo · GitHub

Reference code, inference scripts and docs from Tencent. The weights themselves download from Hugging Face.

github.com/Tencent-Hunyuan/HunyuanImage-3.0 (opens in a new tab)

git clone https://github.com/Tencent-Hunyuan/HunyuanImage-3.0

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

How the B 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.	39.7 / 45
Memory fitFull marks when everything sits in GPU or unified memory; fewer when part spills to system RAM.	12.0 / 25
SpeedGeneration speed against a 40 tokens/s target for LLMs, or render time against a target for image and video.	1.9 / 15
Memory useRewards using the memory you have, so a bigger, better variant beats a tiny one that leaves most memory idle.	15.0 / 15
Total	68.6 / 100	68 ptsGood (B) · 68 of 100 points: Model quality 39.7/45, Memory fit 12.0/25, Speed 1.9/15, Memory use 15.0/15

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

Every precision on the Apple M1 Max (64 GB)

Precision	Memory needed	Available	Time per output	Memory mode	Fit	Grade · points	Download
`FP16`	61.8 GB	48.0 GB	—	—	Won't run	12 ptsWon't run (F) · 12 of 100 points: Model quality 12.2/45, Memory fit 0.0/25, Speed 0.0/15, Memory use 0.0/15	Original weights (opens in a new tab)
`FP8`	32.8 GB	48.0 GB	10.5 min	Sequential CPU offload	Runs well	68 ptsGood (B) · 68 of 100 points: Model quality 39.7/45, Memory fit 12.0/25, Speed 1.9/15, Memory use 15.0/15	Original weights (opens in a new tab)

Other hardware that runs it

85 ptsExcellent (S) · 85 of 100 points: Model quality 39.7/45, Memory fit 23.0/25, Speed 7.5/15, Memory use 15.0/15 NVIDIA RTX PRO 6000 Blackwell FP8 · 40 s
84 ptsGreat (A) · 84 of 100 points: Model quality 39.7/45, Memory fit 25.0/25, Speed 4.5/15, Memory use 15.0/15 NVIDIA GB10 (128 GB) FP8 · 1.9 min
82 ptsGreat (A) · 82 of 100 points: Model quality 39.7/45, Memory fit 23.0/25, Speed 4.7/15, Memory use 15.0/15 AMD Ryzen AI Max+ 395 (128 GB) FP8 · 1.7 min
81 ptsGreat (A) · 81 of 100 points: Model quality 39.7/45, Memory fit 25.0/25, Speed 3.1/15, Memory use 13.9/15 Apple M2 Ultra (192 GB) FP8 · 3.9 min
80 ptsGreat (A) · 80 of 100 points: Model quality 39.7/45, Memory fit 23.0/25, Speed 2.7/15, Memory use 15.0/15 Apple M4 Max (128 GB) FP8 · 5.3 min
78 ptsGreat (A) · 78 of 100 points: Model quality 40.5/45, Memory fit 25.0/25, Speed 3.0/15, Memory use 10.2/15 Apple M3 Ultra (512 GB) FP16 · 4.2 min

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.