Products · Apple · Laptop

Apple MacBook Pro (14-inch, M5 Pro or M5 Max)

Chips: Apple M5 Pro or Apple M5 Max
Unified memory: 24, 36, 48, 64 or 128 GB
Launch price from: $2,199
Released: 2026

View on the Apple website (opens in a new tab) Full AI report

Configurations

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

Configuration	Memory	Usable for AI	Bandwidth	LLMs that run well	Launch price
Apple M5 Pro · 15-core CPU, 16-core GPU	24.0 GB	16.1 GB	307 GB/s	363 of 536	$2,199
Apple M5 Pro · 18-core CPU, 20-core GPU	24.0 GB	16.1 GB	307 GB/s	363 of 536	—
Apple M5 Max · 18-core CPU, 32-core GPU	36.0 GB	24.1 GB	460 GB/s	405 of 536	$3,599
Apple M5 Pro · 15-core CPU, 16-core GPU	48.0 GB	36.0 GB	307 GB/s	430 of 536	—
Apple M5 Pro · 18-core CPU, 20-core GPU	48.0 GB	36.0 GB	307 GB/s	430 of 536	—
Apple M5 Max · 18-core CPU, 40-core GPU	48.0 GB	36.0 GB	614 GB/s	430 of 536	—
Apple M5 Pro · 18-core CPU, 20-core GPU	64.0 GB	48.0 GB	307 GB/s	439 of 536	—
Apple M5 Max · 18-core CPU, 40-core GPU	64.0 GB	48.0 GB	614 GB/s	439 of 536	—
Apple M5 Max · 18-core CPU, 40-core GPU	128 GB	96.0 GB	614 GB/s	465 of 536	—

Specifications 64.0 GB configuration

Maker	Apple
Type	Laptop
Chip	Apple M5 Max (64 GB) · 18-core CPU, 40-core GPU
Unified memory	64.0 GB
Usable for AI models	48.0 GB
Memory bandwidth	614 GB/s
FP16 compute	18.9 TFLOPS
Notes	announced Mar 3 2026; Apple raised prices Jun 25 2026 (M5 Pro base to $2,499)
Maker’s page	www.apple.com (opens in a new tab)

Best LLMs for the Apple MacBook Pro (14-inch, M5 Pro or M5 Max) 64.0 GB

Grade · points	Model	Quant	Memory	Speed	Fit
96 ptsExcellent (S) · 96 of 100 points: Model quality 41.7/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	Qwen3.6 35B-A3BAlibaba	`Q6_K`	34.1 GB	75.1 tok/s	Runs well
96 ptsExcellent (S) · 96 of 100 points: Model quality 41.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	Gemma 4 26B-A4BGoogle	`Q8_0`	32.2 GB	43.5 tok/s	Runs well
96 ptsExcellent (S) · 96 of 100 points: Model quality 41.4/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	Qwen3.5 35B-A3BAlibaba	`Q6_K`	34.1 GB	75.1 tok/s	Runs well
95 ptsExcellent (S) · 95 of 100 points: Model quality 40.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	Ornith 1.5 35B-A3BDeepReinforce	`Q6_K`	34.1 GB	75.1 tok/s	Runs well
94 ptsExcellent (S) · 94 of 100 points: Model quality 39.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	Apodex 1.1 Mini (35B-A3B)Apodex	`Q6_K`	34.1 GB	75.1 tok/s	Runs well
94 ptsExcellent (S) · 94 of 100 points: Model quality 39.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	Ornith 1.0 35B-A3BDeepReinforce	`Q6_K`	34.1 GB	75.1 tok/s	Runs well
94 ptsExcellent (S) · 94 of 100 points: Model quality 39.6/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	GLM-4.7 Flash (30B-A3B)Zhipu AI	`Q8_0`	38.0 GB	55.1 tok/s	Runs well
93 ptsExcellent (S) · 93 of 100 points: Model quality 38.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	Agents-A1 35B-A3BInternScience	`Q6_K`	33.4 GB	75.1 tok/s	Runs well
93 ptsExcellent (S) · 93 of 100 points: Model quality 38.8/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	Qwen AgentWorld 35B-A3BAlibaba	`Q6_K`	33.0 GB	75.1 tok/s	Runs well
91 ptsExcellent (S) · 91 of 100 points: Model quality 36.5/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 15.0/15	Laguna XS 2.1 (33B-A3B)Poolside	`Q6_K`	33.2 GB	75.1 tok/s	Runs well

Best Image models for the Apple MacBook Pro (14-inch, M5 Pro or M5 Max) 64.0 GB

Grade · points	Model	Precision	Memory	Time per output	Fit
92 ptsExcellent (S) · 92 of 100 points: Model quality 37.8/45, Memory fit 25.0/25, Speed 14.8/15, Memory use 15.0/15	FLUX.2 [klein] 9BBlack Forest Labs	`FP16`	37.1 GB	10 s	Runs well
86 ptsExcellent (S) · 86 of 100 points: Model quality 37.8/45, Memory fit 25.0/25, Speed 12.5/15, Memory use 10.9/15	Z-Image TurboAlibaba (Tongyi)	`FP16`	22.7 GB	14 s	Runs well
83 ptsGreat (A) · 83 of 100 points: Model quality 35.1/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 8.7/15	FLUX.2 [klein] 4BBlack Forest Labs	`FP16`	18.1 GB	5.7 s	Runs well
82 ptsGreat (A) · 82 of 100 points: Model quality 36.9/45, Memory fit 25.0/25, Speed 5.7/15, Memory use 15.0/15	FLUX.1 Krea [dev]Black Forest Labs	`FP16`	36.4 GB	69 s	Runs well
82 ptsGreat (A) · 82 of 100 points: Model quality 27.9/45, Memory fit 25.0/25, Speed 15.0/15, Memory use 14.4/15	Stable Diffusion 3.5 Large TurboStability AI	`FP16`	30.0 GB	9.2 s	Runs well
82 ptsGreat (A) · 82 of 100 points: Model quality 40.1/45, Memory fit 25.0/25, Speed 1.9/15, Memory use 15.0/15	Qwen-Image 2512Alibaba	`Q8 GGUF`	36.5 GB	9.9 min	Runs well

Best Video models for the Apple MacBook Pro (14-inch, M5 Pro or M5 Max) 64.0 GB

Grade · points	Model	Precision	Memory	Time per output	Fit
80 ptsGreat (A) · 80 of 100 points: Model quality 30.0/45, Memory fit 25.0/25, Speed 11.4/15, Memory use 14.5/15	LTX-Video 13B 0.9.8 (distilled)Lightricks	`FP8`	30.1 GB	5.2 min	Runs well
80 ptsGreat (A) · 80 of 100 points: Model quality 37.9/45, Memory fit 23.0/25, Speed 4.4/15, Memory use 15.0/15	LTX-2.3Lightricks	`FP8`	44.3 GB	34.5 min	Tight fit
80 ptsGreat (A) · 80 of 100 points: Model quality 38.3/45, Memory fit 25.0/25, Speed 2.0/15, Memory use 15.0/15	Wan 2.2 I2V A14BAlibaba	`Q8 GGUF`	39.3 GB	2.9 h	Runs well
80 ptsGreat (A) · 80 of 100 points: Model quality 38.3/45, Memory fit 25.0/25, Speed 2.0/15, Memory use 15.0/15	Wan 2.2 T2V A14BAlibaba	`Q8 GGUF`	39.3 GB	2.9 h	Runs well
79 ptsGreat (A) · 79 of 100 points: Model quality 37.0/45, Memory fit 25.0/25, Speed 2.1/15, Memory use 15.0/15	HunyuanVideo 1.5 (8.3B)Tencent	`FP8`	38.4 GB	2.6 h	Runs well

Other products with the Apple M5 Max (64 GB)

MacBook Pro (16-inch, M5 Pro or M5 Max)Apple · Laptop · 24, 36, 48, 64 or 128 GB · from $2,699Maker’s page (opens in a new tab)
Mac Studio (M5 Max or M5 Ultra)Apple · Desktop · 36, 48, 64, 96, 128, 256 or 512 GB · from $2,499Maker’s page (opens in a new tab)

Spec sources

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.