Apple Mac Pro (2023) (M2 Ultra)

Configurations

Pick one to see which models it runs. More memory lets larger models fit; bandwidth sets how fast they answer.

Specifications 64.0 GB configuration

Best LLMs for the Apple Mac Pro (2023) (M2 Ultra) 64.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.6 35B-A3BAlibaba	Q6_K	34.1 GB	115 tok/s	Runs great
A+92Excellent quality (A+) · 92 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.	Gemma 4 26B-A4BGoogle	Q8_0	32.2 GB	79.2 tok/s	Runs great
A+92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.	OBMiniCPM-V 4.7 35B-A3BOpenBMB	Q6_K	33.5 GB	115 tok/s	Runs great
A+92Excellent quality (A+) · 92 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 96/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3.5 35B-A3BAlibaba	Q6_K	34.1 GB	115 tok/s	Runs great
A+91Excellent quality (A+) · 91 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.	NANex N2 Mini (35B-A3B)Nex-AGI	Q6_K	33.4 GB	115 tok/s	Runs great
A+90Excellent quality (A+) · 90 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.	KKAT-Coder V2.5 Dev (35B-A3B)Kuaishou	Q6_K	33.0 GB	115 tok/s	Runs great
A+90Excellent quality (A+) · 90 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.	ISSage-A1.5 35B-A3BInternScience	Q6_K	34.1 GB	115 tok/s	Runs great
A+89Excellent quality (A+) · 89 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.	RFlint (40B-A2.5B)Recursive	Q6_K	37.3 GB	127 tok/s	Runs great
A+89Excellent quality (A+) · 89 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 95/100 (quality, fit, speed and memory use) sets the ranking.	DROrnith 1.5 35B-A3BDeepReinforce	Q6_K	34.1 GB	115 tok/s	Runs great
A+88Excellent quality (A+) · 88 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking.	AApodex 1.1 Mini (35B-A3B)Apodex	Q6_K	34.1 GB	115 tok/s	Runs great

Best Image models for the Apple Mac Pro (2023) (M2 Ultra) 64.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX.2 [klein] 9BBlack Forest Labs	FP16	37.1 GB	7.9 s	Runs great
A+92Excellent quality (A+) · 92 of 100: how capable the model is at FP16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	KKrea 2 TurboKrea	FP16	37.4 GB	19 s	Runs well
A+85Excellent quality (A+) · 85 of 100: how capable the model is at FP16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	BERNIE-Image TurboBaidu	FP16	26.4 GB	14 s	Runs well
A84Great quality (A) · 84 of 100: how capable the model is at FP16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking.	Z-Image TurboAlibaba (Tongyi)	FP16	22.7 GB	11 s	Runs great
A70Great quality (A) · 70 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX.1 [schnell]Black Forest Labs	FP16	36.4 GB	8.7 s	Runs great
A+91Excellent quality (A+) · 91 of 100: how capable the model is at FP16, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.	BFFLUX 3 Image KleinBlack Forest Labs	FP16	22.4 GB	25 s	Runs well

Best Video models for the Apple Mac Pro (2023) (M2 Ultra) 64.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A81Great quality (A) · 81 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 86/100 (quality, fit, speed and memory use) sets the ranking.	LLTX-2.5 (22B, video + audio)Lightricks	Q4 GGUF	39.9 GB	8.0 min	Runs well
B66Good quality (B) · 66 of 100: how capable the model is at FP8, whatever it runs on. Match score 82/100 (quality, fit, speed and memory use) sets the ranking.	LLTX-Video 13B 0.9.8 (distilled)Lightricks	FP8	30.1 GB	3.9 min	Runs great
A84Great quality (A) · 84 of 100: how capable the model is at FP8, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	LLTX-2.3Lightricks	FP8	44.3 GB	26.2 min	Slowtight fit
A+85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.2 I2V A14BAlibaba	Q8 GGUF	39.3 GB	2.2 h	Very slow
A+85Excellent quality (A+) · 85 of 100: how capable the model is at Q8 GGUF, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking.	Wan 2.2 T2V A14BAlibaba	Q8 GGUF	39.3 GB	2.2 h	Very slow

Best Decision models for the Apple Mac Pro (2023) (M2 Ultra) 64.0 GB

Quality	Model	Quant	Memory	Speed	Runs
A+86Excellent quality (A+) · 86 of 100: how capable the model is at F16, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.	JAJina Reranker v3.5Jina AI	F16	5.9 GB	25 ms	Runs great
A+90Excellent quality (A+) · 90 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 93/100 (quality, fit, speed and memory use) sets the ranking.	Qwen3 Reranker 4BAlibaba	Q8_0	9.0 GB	135 ms	Runs well
A84Great quality (A) · 84 of 100: how capable the model is at F16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	SAIntern-Decision 4BShanghai AI Lab	F16	13.6 GB	96 ms	Runs great
A84Great quality (A) · 84 of 100: how capable the model is at F16, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	JAJina Reranker v3Jina AI	F16	5.9 GB	25 ms	Runs great
A+88Excellent quality (A+) · 88 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 92/100 (quality, fit, speed and memory use) sets the ranking.	ZEzerank-2ZeroEntropy	Q8_0	9.0 GB	135 ms	Runs well
A82Great quality (A) · 82 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	LAd1 3BLiquid AI	F16	10.7 GB	67 ms	Runs great
A82Great quality (A) · 82 of 100: how capable the model is at F16, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	Mmxbai-rerank-large v2Mixedbread	F16	7.6 GB	59 ms	Runs great
A+86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking.	Shieldstral 1.0 3BMistral AI	Q8_0	8.7 GB	130 ms	Runs great

Other products with the Apple M2 Ultra (64 GB)

• Mac Studio (2023) (M2 Max or M2 Ultra)Apple · Desktop · 32, 64, 96, 128 or 192 GB · $1,999–$3,999Product page (opens in a new tab)