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Versus Engine

GMKtec EVO-X2 (128GB) vs Mac Mini M4 Pro (64GB)

Specs, price and the one trade-off that actually decides it — GMKtec EVO-X2 (128GB) against Mac Mini M4 Pro (64GB), side by side.

Cheaper to start

Mac Mini M4 Pro (64GB)

Starts about $1,501 lower.

Rated higher

Mac Mini M4 Pro (64GB)

9.5 vs 8.0 on our design scale.

Standout

GMKtec EVO-X2 (128GB)

128GB massive memory pool

GMKtec EVO-X2 (128GB)

GMKtec EVO-X2 (128GB)

Enthusiast-tier mini workstation: AMD Ryzen AI Max+ 395 with 128 GB of unified memory. Runs Llama 3.3 70B and Mistral Small 3.1 at roughly 15-25 tokens/s — 70B-class models without a discrete GPU, in a small-form-factor chassis.

Where it wins, where it doesn't

Pros

  • 128GB massive memory pool
  • Ultra-compact form factor
  • Dual NVMe storage slots

Cons

  • APU graphics bottleneck token generation speed
  • Audible fan noise under sustained load

Specifications

  • chipAMD Ryzen AI Max+ 395
  • tierenthusiast
  • example_modelsLlama 3.3 70B, Mistral Small 3.1
  • tokens_per_second15-25
  • unified_memory_gb128
Mac Mini M4 Pro (64GB)

Mac Mini M4 Pro (64GB)

Compact unified-memory system built on the Apple M4 Pro with 64 GB shared between CPU and GPU. Runs Gemma 3 27B and Qwen3 30B-A3B at roughly 35-50 tokens/s while operating near-silently — the mid tier of this index for local AI work.

Where it wins, where it doesn't

Pros

  • 64GB unified memory accessible by GPU
  • Near-silent operation at 100% load
  • Class-leading performance-per-watt

Cons

  • Zero post-purchase upgradeability
  • Lacks native CUDA ecosystem support

Specifications

  • chipApple M4 Pro
  • tiermid
  • example_modelsGemma 3 27B, Qwen3 30B-A3B
  • tokens_per_second35-50
  • unified_memory_gb64