Apple M5 Pro — Local LLM Performance & Compatibility

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

作者： Jakub Rusinowski · 最后更新： 2026年7月12日

Up to 64 GB unified memory at 307 GB/s — double the memory ceiling of the M4 Pro. Released March 2026 in the MacBook Pro 14"/16". Comfortably fits 32B models at Q4.

Technical Specifications

VRAM	64 GB unified memory
Memory Bandwidth	307 GB/s
TDP	30 W
Architecture	ARM, 3nm TSMC
Release Year	2026
MSRP at Launch	$1,999
Inference Speed (Llama 3.1 8B Q4_K_M)	19–39 tok/s (estimated)
Inference Speed (Llama 3.3 70B Q4_K_M)	2.5–5.1 tok/s (estimated)

购买此硬件 Apple MacBook Pro M5 Pro — 64 GB VRAM · 30 W board power 立即云端部署 RunPod 上的 NVIDIA A100 80GB — 低至 $1.39/小时 · 价格核实于 2026-07

或在 Vast.ai 比较，低至 $0.77/小时 (typical low · varies)

作为亚马逊联盟成员，我们从符合条件的购买中获得收入。云 GPU 链接为推荐链接——我们可能获得佣金，您无需额外付费。

联盟营销声明: 本页部分链接为联盟推广链接——如果你通过它们购买，LLM Configurator 可能会获得佣金，而你无需支付任何额外费用。作为亚马逊联盟成员（Amazon Associate），LLM Configurator 会从符合条件的购买中获得收益。

Apple MacBook Pro M5 Pro

64 GB VRAM · 30 W board power

2026年价格波动较大——请以当前商品页价格为准。

在亚马逊查看价格

LLMs Compatible with 64 GB Unified Memory

All models below run comfortably in 64 GB unified memory with Q4_K_M quantization.

Command R Family	Command R+ (104B) · 64 GB VRAM · Q4_K_M · `ollama run command-r-plus`
Llama 3.2 Family	Llama 3.2 90B Vision Instruct · 54 GB VRAM · Q4_K_M · llama-3-2
Llama 3.2 Vision	Llama 3.2 Vision 90B · 54 GB VRAM · Q4_K_M · `ollama run llama3.2-vision:90b`
Qwen3-Coder	Qwen3-Coder 80B-A3B (MoE) · 49 GB VRAM · Q4_K_M · `ollama run qwen3-coder:80b-a3b-q4`
Qwen 2.5 VL	Qwen 2.5 VL 72B Instruct · 45 GB VRAM · Q4_K_M · `ollama run qwen2.5vl:72b`
Qwen 2.5 Family	Qwen 2.5 72B Instruct · 44 GB VRAM · Q4_K_M · `ollama run qwen2.5:72b`
Nemotron 70B	Nemotron 70B Instruct · 43 GB VRAM · Q4_K_M · `ollama run nemotron`
Llama 3.3	Llama 3.3 70B Instruct · 43 GB VRAM · Q4_K_M · `ollama run llama3.3`

58 more families also fit 64 GB — browse the full model library.

Best Use Cases

14B–32B models
MacBook Pro 14"/16"
developers

Quick Start with Ollama

Install Ollama then run the recommended model for this GPU:

ollama run qwen3:14b

FAQ

Can the Apple M5 Pro run local LLMs?

Yes — the Apple M5 Pro has 64 GB unified memory and runs Up to 64 GB unified memory at 307 GB/s — double the memory ceiling of the M4 Pro. Released March 2026 in the MacBook Pro

How fast is the Apple M5 Pro for AI inference?

The Apple M5 Pro is estimated to run Llama 3.1 8B at 19–39 tok/s with Q4_K_M quantization. For Llama 3.3 70B the estimate is 2.5–5.1 tok/s. These are modelled estimates, not measurements — see /en/methodology.

What LLMs can I run on 64 GB VRAM?

With 64 GB you can run: Command R Family, Llama 3.2 Family, Llama 3.2 Vision, Qwen3-Coder, Qwen 2.5 VL. Use Ollama for the easiest setup: ollama run qwen3:14b.

Can I Run It? — Apple M5 Pro

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