Apple M5 Pro — Local LLM Performance & Compatibility

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

VRAM64 GB unified memory
Memory Bandwidth307 GB/s
TDP30 W
ArchitectureARM, 3nm TSMC
Release Year2026
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)
Buy This HardwareApple MacBook Pro M5 Pro — 64 GB VRAM · 30 W board powerDeploy in the Cloud NowNVIDIA A100 80GB on RunPod — from $1.39/hr · rate checked 2026-07

or compare on Vast.ai from $0.77/hr (typical low · varies)

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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。
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LLMs Compatible with 64 GB Unified Memory

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

Llama 3.1 FamilyLlama 3.1 8B Instruct · 6 GB VRAM · Q4_K_M · ollama run llama3.1
Llama 3.3Llama 3.3 70B Instruct · 43 GB VRAM · Q4_K_M · ollama run llama3.3
Qwen 3Qwen 3 32B · 21 GB VRAM · Q4_K_M · ollama run qwen3:32b
Qwen3-CoderQwen3-Coder 80B-A3B (MoE) · 49 GB VRAM · Q4_K_M · ollama run qwen3-coder:80b-a3b-q4
Gemma 3Gemma 3 27B Instruct · 17 GB VRAM · Q4_K_M · ollama run gemma3:27b
Phi-4 FamilyPhi-4 (14B) · 9 GB VRAM · Q4_K_M · ollama run phi4
Phi-4 MiniPhi-4 Mini (3.8B) · 3 GB VRAM · Q4_K_M · ollama run phi4-mini
Mistral Small 3.1Mistral Small 3.1 24B · 15 GB VRAM · Q4_K_M · ollama run mistral-small3.1

Best Use Cases

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: Llama 3.1 Family, Llama 3.3, Qwen 3, Qwen3-Coder, Gemma 3. Use Ollama for the easiest setup: ollama run qwen3:14b.

Can I Run It? — Apple M5 Pro

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