Apple MacBook Pro 16 (M5 Max)
Apple M5 Max · Local AI PC
The Apple MacBook Pro 16 (M5 Max) is Apple's laptop built on the Apple M5 Max, and it gives a local model about 27GB of usable AI memory at 460 GB/s. No verified price is currently on record, so the price block below shows its status rather than a number. It scores 28.1 overall on the AIPC Score.
Price and memory shown are for the 36GB / 2TB configuration.
AIPC Score: 28.1
- AI memory29.2
- AI compute13.1
- Memory bandwidth25.6
- Model compatibility51.7
- GPU capability13.1
- NPU capability38
- Software support80
- Power efficiency19.3
- Expandability15
- Price/value7.7
Specifications
- AI Memory
- 27GB
- CPU
- Apple M5 Max
- GPU
- Apple M5 Max 40-core GPU
- NPU
- Neural Engine (38 TOPS)
- Memory bandwidth
- 460 GB/s
- Storage
- 2TB
- Configuration
- 36GB / 2TB
- Type
- Laptop
How we calculate AI memory: About 75% of unified memory, the macOS default wired limit. Raisable with iogpu.wired_limit_mb. Source →
Configurations
| Configuration | AI Memory | Memory bandwidth | Price | Retailer |
|---|---|---|---|---|
| 36GB / 2TB | 27GB | 460 GB/s | Price awaiting re-verification | Apple |
| 48GB / 1TB | 36GB | 614 GB/s | No verified price | — |
| 48GB / 2TB | 36GB | 614 GB/s | Price awaiting re-verification | Apple |
| 64GB / 2TB | 48GB | 614 GB/s | Price awaiting re-verification | Apple |
| 128GB / 4TB | 96GB | 614 GB/s | No verified price | — |
| 128GB / 2TB | 96GB | 614 GB/s | Price awaiting re-verification | Apple |
What can this PC run?
| Model | Quantization | Fits | Mode | State | Speed |
|---|---|---|---|---|---|
| DeepSeek-R1-Distill-Qwen-7B | Q4 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| DeepSeek-R1-Distill-Qwen-7B | Q8 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| DeepSeek-R1-Distill-Qwen-14B | Q4 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| DeepSeek-R1-Distill-Qwen-14B | Q8 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| DeepSeek-R1-Distill-Qwen-32B | Q4 | Limited | Offload required | Calculated | Performance not yet benchmarked |
| Gemma 3 4B IT | Q4 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Gemma 3 4B IT | Q8 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Gemma 3 12B IT | Q4 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Gemma 3 12B IT | Q8 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Gemma 3 27B IT | Q4 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Llama 3.2 3B Instruct | Q4 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Llama 3.2 3B Instruct | Q8 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Llama 3.1 8B Instruct | Q4 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Llama 3.1 8B Instruct | Q8 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Mistral Small 3 (Mistral-Small-24B-Instruct-2501) | Q4 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Mistral Small 3 (Mistral-Small-24B-Instruct-2501) | Q8 | Limited | Offload required | Calculated | Performance not yet benchmarked |
| Devstral Small 1.1 (Devstral-Small-2507) | Q4 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Devstral Small 1.1 (Devstral-Small-2507) | Q8 | Limited | Offload required | Calculated | Performance not yet benchmarked |
| Phi-4 | Q4 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Phi-4 | Q8 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Qwen3-4B | Q4 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Qwen3-4B | Q8 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Qwen3-8B | Q4 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Qwen3-8B | Q8 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Qwen3-14B | Q4 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Qwen3-14B | Q8 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Qwen3-30B-A3B | Q4 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Qwen3-32B | Q4 | Limited | Offload required | Calculated | Performance not yet benchmarked |
| gpt-oss-20b | Q4 | Yes | Full memory | Calculated | Performance not yet benchmarked |
| gpt-oss-20b | Q8 | Limited | Offload required | Calculated | Performance not yet benchmarked |
| Whisper large-v3 | Published | Yes | Full memory | Calculated | Performance not yet benchmarked |
| FLUX.1 schnell | Published | Limited | Offload required | Calculated | Performance not yet benchmarked |
| FLUX.1 dev | Published | Limited | Offload required | Calculated | Performance not yet benchmarked |
| Stable Diffusion XL Base 1.0 | Published | Yes | Full memory | Calculated | Performance not yet benchmarked |
| Stable Diffusion 3.5 Large | Published | Yes | Full memory | Calculated | Performance not yet benchmarked |
Does not fit (31)
- DeepSeek-R1-Distill-Qwen-32B Q8: needs 42.3GB
- DeepSeek-R1-Distill-Llama-70B Q4: needs 51.5GB
- DeepSeek-R1-Distill-Llama-70B Q8: needs 88.8GB
- DeepSeek-R1 Q4: needs 469.8GB
- DeepSeek-R1 Q8: needs 821.9GB
- DeepSeek-V3 Q4: needs 469.8GB
- DeepSeek-V3 Q8: needs 821.9GB
- GLM-5.2 Q4: needs 527GB
- GLM-5.2 Q8: needs 922.1GB
- Gemma 3 27B IT Q8: needs 35GB
- Kimi-K2-Instruct Q4: needs 699.2GB
- Kimi-K2-Instruct Q8: needs 1223.9GB
- Llama 3.1 70B Instruct Q4: needs 50.8GB
- Llama 3.1 70B Instruct Q8: needs 87.5GB
- Llama 3.3 70B Instruct Q4: needs 50.8GB
- Llama 3.3 70B Instruct Q8: needs 87.5GB
- Llama 4 Scout 17B-16E Instruct Q4: needs 78GB
- Llama 4 Scout 17B-16E Instruct Q8: needs 135.2GB
- Llama 4 Maverick 17B-128E Instruct Q4: needs 280.9GB
- Llama 4 Maverick 17B-128E Instruct Q8: needs 490.7GB
- Mistral Medium 3.5 128B Q4: needs 91.2GB
- Mistral Medium 3.5 128B Q8: needs 158.4GB
- Qwen3-30B-A3B Q8: needs 39.3GB
- Qwen3-32B Q8: needs 42.1GB
- Qwen3-235B-A22B Q4: needs 165.8GB
- Qwen3-235B-A22B Q8: needs 289.1GB
- gpt-oss-120b Q4: needs 83.6GB
- gpt-oss-120b Q8: needs 145GB
- HunyuanVideo Published: needs 60GB
- Wan2.1 T2V 14B Published: needs 65.7GB
- Wan2.2 T2V A14B Published: needs 80GB
Alternatives
- Apple MacBook Pro 14 (M5 Max)
27GB · AI Score 28.4
$4,099
- HP OMEN MAX 16 (RTX 5080)
16GB · AI Score 27.2
No verified price
- Skytech King 95 (RTX 5070 Ti)
16GB · AI Score 29.6
No verified price