
Products · Apple · Laptop
Apple MacBook Pro (14-inch, 2023) (M2 Pro or M2 Max)
- Chips
- Apple M2 Pro or Apple M2 Max
- Unified memory
- 16, 32, 64 or 96 GB
- Launch price
- $1,999–$3,099
- Released
- 2023
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 M2 Pro · 10-core CPU, 16-core GPU | 16.0 GB | 10.7 GB | 200 GB/s | 349 of 622 | $1,999 |
| Apple M2 Pro · 12-core CPU, 19-core GPU | 16.0 GB | 10.7 GB | 200 GB/s | 349 of 622 | — |
| Apple M2 Pro · 10-core CPU, 16-core GPU | 32.0 GB | 21.4 GB | 200 GB/s | 454 of 622 | $2,399 |
| Apple M2 Pro · 12-core CPU, 19-core GPU | 32.0 GB | 21.4 GB | 200 GB/s | 454 of 622 | — |
| Apple M2 Max · 12-core CPU, 30-core GPU | 32.0 GB | 21.4 GB | 400 GB/s | 460 of 622 | $3,099 |
| Apple M2 Max · 12-core CPU, 38-core GPU | 32.0 GB | 21.4 GB | 400 GB/s | 460 of 622 | — |
| Apple M2 Max · 12-core CPU, 30-core GPU | 64.0 GB | 48.0 GB | 400 GB/s | 485 of 622 | — |
| Apple M2 Max · 12-core CPU, 38-core GPU | 64.0 GB | 48.0 GB | 400 GB/s | 485 of 622 | — |
| Apple M2 Max · 12-core CPU, 38-core GPU | 96.0 GB | 72.0 GB | 400 GB/s | 496 of 622 | — |
Specifications 32.0 GB configuration
| Maker | Apple |
|---|---|
| Type | Laptop |
| Chip | Apple M2 Pro (32 GB) · 10-core CPU, 16-core GPU |
| Unified memory | 32.0 GB |
| Usable for AI models | 21.4 GB |
| Memory bandwidth | 200 GB/s |
| FP16 compute | 6.8 TFLOPS |
| Product page | support.apple.com (opens in a new tab) |
Best LLMs for the Apple MacBook Pro (14-inch, 2023) (M2 Pro or M2 Max) 32.0 GB
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 89Excellent quality (A+) · 89 of 100: how capable the model is at Q5_K_M, whatever it runs on. Match score 94/100 (quality, fit, speed and memory use) sets the ranking. | Gemma 4 26B-A4B | Q5_K_M | 21.0 GB | 39.6 tok/s | Runs welltight fit |
| 83Great quality (A) · 83 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 91/100 (quality, fit, speed and memory use) sets the ranking. | Raon-1 mini Preview (30B-A4B) | Q4_K_M | 19.9 GB | 42.2 tok/s | Runs welltight fit |
| 78Great quality (A) · 78 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. | Qwen3.6 35B-A3B | Q3_K_M | 20.1 GB | 70.3 tok/s | Runs welltight fit |
| 78Great quality (A) · 78 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. | MiniCPM-V 4.7 35B-A3B | Q3_K_M | 19.7 GB | 70.3 tok/s | Runs welltight fit |
| 78Great quality (A) · 78 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. | Qwen3.5 35B-A3B | Q3_K_M | 20.1 GB | 70.3 tok/s | Runs welltight fit |
| 77Great quality (A) · 77 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. | Nex N2 Mini (35B-A3B) | Q3_K_M | 19.7 GB | 70.3 tok/s | Runs welltight fit |
| 76Great quality (A) · 76 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. | KAT-Coder V2.5 Dev (35B-A3B) | Q3_K_M | 19.5 GB | 70.3 tok/s | Runs welltight fit |
| 76Great quality (A) · 76 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. | Sage-A1.5 35B-A3B | Q3_K_M | 20.1 GB | 70.3 tok/s | Runs welltight fit |
| 73Great quality (A) · 73 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. | GLM-4.7 Flash (30B-A3B) | Q3_K_M | 18.1 GB | 70.3 tok/s | Runs great |
| 76Great quality (A) · 76 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. | North Mini Code 1.0 (30B-A3B) | Q4_K_M | 21.2 GB | 57.0 tok/s | Runs welltight fit |
Best Image models for the Apple MacBook Pro (14-inch, 2023) (M2 Pro or M2 Max) 32.0 GB
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 90Excellent quality (A+) · 90 of 100: how capable the model is at FP8, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. | Krea 2 Turbo | FP8 | 20.2 GB | 48 s | Slowtight fit |
| 82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. | FLUX.2 [klein] 9B | FP8 | 19.9 GB | 20 s | Runs welltight fit |
| 83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 85/100 (quality, fit, speed and memory use) sets the ranking. | ERNIE-Image Turbo | FP8 | 14.5 GB | 36 s | Runs well |
| 76Great quality (A) · 76 of 100: how capable the model is at FP8, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. | FLUX.2 [klein] 4B | FP8 | 10.2 GB | 11 s | Runs great |
| 82Great quality (A) · 82 of 100: how capable the model is at FP8, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. | Z-Image Turbo | FP8 | 12.6 GB | 28 s | Runs well |
| 89Excellent quality (A+) · 89 of 100: how capable the model is at FP8, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. | FLUX 3 Image Klein | FP8 | 12.4 GB | 63 s | Slow |
Best Video models for the Apple MacBook Pro (14-inch, 2023) (M2 Pro or M2 Max) 32.0 GB
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 83Great quality (A) · 83 of 100: how capable the model is at FP8, whatever it runs on. Match score 72/100 (quality, fit, speed and memory use) sets the ranking. | Bernini-R A14B (video generation + editing) | FP8 | 20.3 GB | 2.3 h | Very slowtight fit · encoder unloaded after use |
| 74Great quality (A) · 74 of 100: how capable the model is at FP8, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. | HY-OmniWeaving (8.3B, unified video) | FP8 | 15.7 GB | 1.7 h | Very slowencoder unloaded after use |
| 49Fair quality (C) · 49 of 100: how capable the model is at FP8, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. | LTX-Video 2B | FP8 | 10.8 GB | 4.6 min | Runs well |
| 68Good quality (B) · 68 of 100: how capable the model is at Q4 GGUF, whatever it runs on. Match score 70/100 (quality, fit, speed and memory use) sets the ranking. | Wan 2.1 I2V 14B 480P | Q4 GGUF | 20.6 GB | 3.7 h | Very slowtight fit |
| 86Excellent quality (A+) · 86 of 100: how capable the model is at FP8, whatever it runs on. Match score 69/100 (quality, fit, speed and memory use) sets the ranking. | LTX-2.5 (22B, video + audio) | FP8 | 19.7 GB | 21.9 min | Slowtight fit · CPU offload |
Best Decision models for the Apple MacBook Pro (14-inch, 2023) (M2 Pro or M2 Max) 32.0 GB
| Quality | Model | Quant | Memory | Speed | Runs |
|---|---|---|---|---|---|
| 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. | Jina Reranker v3.5 | F16 | 3.8 GB | 89 ms | Runs great |
| 84Great 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. | Jina Reranker v3 | F16 | 3.8 GB | 89 ms | Runs great |
| 80Great quality (A) · 80 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. | FRIDA-Decisions | F16 | 2.4 GB | 66 ms | Runs great |
| 80Great quality (A) · 80 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. | GLiNER2.5 Decide | F16 | 1.7 GB | 41 ms | Runs great |
| 80Great quality (A) · 80 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. | Qwen3 Reranker 0.6B | F16 | 3.8 GB | 89 ms | Runs great |
| 76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. | Llama Prompt Guard 2 86M | F16 | 1.2 GB | 47 ms | Runs great |
| 76Great quality (A) · 76 of 100: how capable the model is at F16, whatever it runs on. Match score 89/100 (quality, fit, speed and memory use) sets the ranking. | mxbai-rerank-base v2 | F16 | 3.3 GB | 73 ms | Runs great |
| 74Great quality (A) · 74 of 100: how capable the model is at F16, whatever it runs on. Match score 88/100 (quality, fit, speed and memory use) sets the ranking. | GLiClass ModernBERT Large v3 | F16 | 1.5 GB | 34 ms | Runs great |
Other products with the Apple M2 Pro (32 GB)
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.

