HARDWARE BENCHMARK & VRAM ENVELOPE โ€ข APPLE SILICON54 GB VRAM โ€ข 273 GB/s

What Models Can Run on Apple Mac Mini M4 Pro (64GB Unified Memory)?

54 GB VRAM273 GB/s Bandwidth65W TDPMSRP: $1,999Cloud: $0.75/hr on RunPod

Apple Mac Mini M4 Pro (64GB Unified Memory) provides 54 GB of usable memory with 273 GB/s memory bandwidth at 65W TDP. Silent 65W desktop running 32Bโ€“70B models with large KV context.

โœ… Runs 100% in GPU VRAM (Optimal Headroom)21.93 GB (41%)~10 t/s

Model & Target Hardware

interactive
Agentic Coding, Terminal Workflows & Multi-File Refactoring
Qwen 3.8 27B Instruct on Apple Mac Mini M4 Pro (64GB Unified Memory)

โœ“ Fits Comfortably in VRAM

โœ“ FITS IN VRAM
Required VRAM
21.93 GB
41% of hardware capacity (54 GB)
Est. Decode Speed
~10 tok/s
Dense model @ 273 GB/s
Available Headroom
+32.07 GB
Safe for OS display & full context
Memory Allocation & Headroom
21.93 GB allocated of 54 GB capacity
41% utilized
Weights: 16.32 GB
KV: (32K): 4.29 GB
Overhead: 1.32 GB
Free Headroom: +32.07 GB
โšก Architecture & Throughput Transparency: Single-user decode speed (~10 tok/s) is memory-bandwidth bound at batch size = 1 on Apple Mac Mini M4 Pro (64GB Unified Memory) (273 GB/s). Prompt prefill / TTFT (~145 tok/s) is compute-bound and utilizes GPU Tensor cores. Actual latency varies with FlashAttention-2 and runtime engine (Ollama/vLLM/llama.cpp).
OLLAMA_FLASH_ATTENTION=1 OLLAMA_KV_CACHE_TYPE=q8_0 ollama run qwen3.8:27b

Quantization Precision Matrix

32K ctx โ€ข KV: Q8_0
QuantizationWeightsKV CacheTotal VRAMEst. SpeedFit Status
FP1616 bpw54.4 GB4.29 GB61.34 GB (114%)~1 t/sPARTIAL
Q8_08.5 bpw28.83 GB4.29 GB34.88 GB (65%)~6 t/sFITS
Q6_K6.56 bpw22.3 GB4.29 GB28.12 GB (52%)~7 t/sFITS
Q5_K_M5.68 bpw19.31 GB4.29 GB25.03 GB (46%)~8 t/sFITS
Q4_K_M4.8 bpw16.32 GB4.29 GB21.93 GB (41%)~10 t/sFITS
FP44.25 bpw14.42 GB4.29 GB19.96 GB (37%)~11 t/sFITS
IQ3_XS3.3 bpw11.15 GB4.29 GB16.58 GB (31%)~14 t/sFITS

Export Full Architecture & Infrastructure Spec

Get an executive-ready PDF report with exact memory math, hardware benchmarks, and cost comparisons.

All Open-Weights Models Tested on Apple Mac Mini M4 Pro (64GB Unified Memory) (Q4_K_M @ 32K Context)

Standard Q4_K_M precision with 32K context window and Q8_0 KV cache

12 Models Benchmarked
ModelArchitectureTotal VRAM NeededHeadroomEst. Decode SpeedCompatibilityDetailed Config
Qwen 3.8 27B Instruct
Alibaba Cloud
27.2B Dense21.93 GB(41%)+32.07 GB~10 tok/sโœ“ FITSConfigure CLI โ†’
Qwen 3.6 35B-A3B MoE
Alibaba Cloud
35B MoE24.1 GB(45%)+29.9 GB~78 tok/sโœ“ FITSConfigure CLI โ†’
DeepSeek-V4.1-Flash (552B Engram MoE)
DeepSeek
552B MoE345.59 GB(640%)-291.59 GB0 (OOM)โœ• OOMConfigure CLI โ†’
Meta Muse Spark Open (816B-A42B MoE)
Meta AI
816B MoE512.86 GB(950%)-458.86 GB0 (OOM)โœ• OOMConfigure CLI โ†’
Google Gemma 4 26B MoE
Google
26.4B MoE20.23 GB(37%)+33.77 GB~52 tok/sโœ“ FITSConfigure CLI โ†’
Google Gemma 4 E4B (Edge 4B)
Google
4.1B Dense4.24 GB(8%)+49.76 GB~64 tok/sโœ“ FITSConfigure CLI โ†’
DeepSeek-R1 Distill Qwen 32B
DeepSeek
32.8B Dense25.41 GB(47%)+28.59 GB~8 tok/sโœ“ FITSConfigure CLI โ†’
DeepSeek-R1 Distill Qwen 14B
DeepSeek
14.8B Dense13.16 GB(24%)+40.84 GB~18 tok/sโœ“ FITSConfigure CLI โ†’
Meta Llama 4 Scout (109B-A17B MoE)
Meta AI
109B MoE71.66 GB(133%)-17.66 GB~3 tok/sโšก PARTIALConfigure CLI โ†’
Meta Llama 3.3 70B Instruct
Meta AI
70.6B Dense49.96 GB(93%)+4.04 GB~4 tok/sโšก TIGHT FITConfigure CLI โ†’
Meta Llama 3.1 8B Instruct
Meta AI
8B Dense7.87 GB(15%)+46.13 GB~32 tok/sโœ“ FITSConfigure CLI โ†’
Microsoft Phi-4 Mini 3.8B
Microsoft
3.8B Dense3.92 GB(7%)+50.08 GB~69 tok/sโœ“ FITSConfigure CLI โ†’