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Head-to-head · Best AI Mini PCs for Local LLM

GMKtec EVO-X2 vs Apple Mac Studio M4 Max

Which is the better buy? Side-by-side on rating, price, strengths, and watch-outs — with the published ratings we averaged to get there.

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The short answer

Apple Mac Studio M4 Max comes out ahead by a narrow margin (4.4 vs 4.3). Apple Mac Studio M4 Max is best for: Apple users who want the fastest local-LLM inference and 100B-class model headroom. Read the strengths below before deciding.

GMKtec EVO-X2
Ranked #3 in Best AI Mini PCs for Local LLM
GMKtec EVO-X2
3 sources$2,199.99as of Oct 11

If the requirement is fitting a 120B-parameter model locally, the GMKtec EVO-X2 is the 128 GB-class mini PC to buy. PCWorld praised its 'excellent combination of CPU, GPU, and NPU performance at desktop workstation level' and scored it 4.5/5. The XDNA 2 NPU contributes 50 TOPS toward a 126 TOPS platform total once the Ryzen AI Max+ 395 and the Radeon 8060S iGPU are counted. With 128 GB of LPDDR5X at 256 GB/s it loads GPT-OSS 120B Q4 with room to spare and runs 70B-class models at 6-8 tokens/sec for a single user. Memory is soldered, and a single 2.5G Ethernet port limits clustering.

Strengths
  • — AMD Ryzen AI Max+ 395 with 50 TOPS XDNA 2 NPU (126 TOPS platform total CPU+GPU+NPU)
  • — Supports multiple open-source AI models and popular development frameworks (Ollama, llama.cpp, MLC)
  • — Roughly half the price of an Nvidia DGX Spark for similar 128 GB-class local-LLM work
Watch-outs
  • — Memory is soldered — no future RAM upgrades
  • — Single 2.5G Ethernet port limits AI clustering compared to the Beelink GTR9 Pro
$2,199.99 · Check Price on AmazonFull review →
Apple Mac Studio M4 Max
Higher ratedRanked #1 in Best AI Mini PCs for Local LLM
Apple Mac Studio M4 Max
3 sources$2,499as of Oct 10

Bandwidth is what actually governs token speed, and the Mac Studio M4 Max has more of it than anything else in this group. At up to 546 GB/s it more than doubles the Mac mini M4 Pro's 273 GB/s and the Strix Halo boxes' 256 GB/s, and community testing puts 70B models at roughly 22-25 tokens/sec, far ahead of the rest of the field here. Macworld (4.5/5) and AppleInsider (4.5/5) both praised its performance and composure, with AppleInsider noting it is 'faster than the Apple Silicon Mac Pro, for half, and sometimes a quarter, of the price.' Its 128 GB unified memory ceiling fits 100B-class quants, and it stays cool and quiet doing it. The catch is the cost of the 128 GB configuration, and it is macOS-only, so Linux and CUDA tooling are out.

Strengths
  • — Highest memory bandwidth here at 546 GB/s, the single most important spec for token generation speed
  • — Thunderbolt 5 (120 Gb/s) and 10Gb Ethernet for fast external storage and networking
  • — Apple-silicon LLM toolchain is mature: MLX, Ollama, and llama.cpp's Metal backend all run natively
Watch-outs
  • — Expensive once configured with 128 GB of memory, and upgrades must be chosen at purchase
  • — Unified memory is soldered and configured at purchase, with steep Apple upgrade pricing
$2,499 · Buy at apple.comFull review →

How they stack up

GMKtec EVO-X2

The GMKtec EVO-X2 has 128 GB of unified memory at 256 GB/s, which fits 120B Q4 models that the Mac mini M4 Pro 64 GB cannot. The Apple Mac Studio M4 Max reaches the same 128 GB at 546 GB/s, more than double the bandwidth. The Framework Desktop (Ryzen AI Max+ 395) uses the same Ryzen AI Max+ 395 chip with up to 128 GB at 256 GB/s.

Apple Mac Studio M4 Max

The Apple Mac Studio M4 Max matches the GMKtec EVO-X2 and the Framework Desktop (Ryzen AI Max+ 395) on a 128 GB memory ceiling, at 546 GB/s of memory bandwidth against their 256 GB/s. It has twice the Mac mini M4 Pro 64 GB's 273 GB/s bandwidth and twice its 64 GB of memory. The Framework Desktop runs Windows or Linux, which the macOS-only Mac Studio does not, and it costs less.

Specs side-by-side

SpecGMKtec EVO-X2Apple Mac Studio M4 Max
CPUAMD Ryzen AI Max+ 395 (16 cores, 32 threads)Apple M4 Max (16-core: 12P + 4E)
GPURadeon 8060S (RDNA 3.5, 40 cores)40-core Apple GPU
RAM128 GB LPDDR5X 8,000 MHzUp to 128 GB unified memory
Storage2 TB PCIe 4.0 SSDUp to 8 TB SSD
NPUXDNA 2, 50 TOPS (126 TOPS platform total)—
ConnectivityWi-Fi 6, Bluetooth 5.2Thunderbolt 5, 10Gb Ethernet, HDMI 2.1
Neural Engine50 TOPS16-core
Dimensions7.6 x 7.31 x 3.03 in7.7 x 7.7 x 3.7 in
Memory Bandwidth—546 GB/s
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