GMKtec EVO-X3 mini PC review: For local AI, the hardware is impressive, but the software still needs work

GMKtec EVO-X3: 30-second review The GMKtec EVO-X3 is a mini PC with a difference: firstly, it stands upright; the size is larger than most, the specs are impressive, and the price- well, that prices it out of most people's reach; however, this is a machine with an AMD Halo Strix processor.

The EVO-X3 features the AMD Ryzen AI Max+ 395 processor; that’s the same as the EVO-X2 with 16 Zen 5 CPU cores, Radeon 8060S graphics, and a 50-TOPS XDNA 2 NPU.

In this review, I’m looking at the machine with 128GB of LPDDR5X unified memory, enough to load and run local AI models; this ability is well beyond the capabilities of most other Mini PCs and even desktop PCs.

A quick look at the hardware makes it clear this is different, and for a machine with its specs, it’s still relatively compact, thanks to its slim, tower-like structure.

It’s essentially been designed to stand upright to ensure plenty of airflow.

During testing, I ran local chat, reasoning, image recognition, image generation, transcription, and coding models on the EVO-X3.

Smaller language models started responding almost immediately, while larger models provided more detailed reasoning and better-quality copy, essentially mirroring what you’d expect from cloud models.

You could also run these tasks with Wi-Fi disabled, so completely local and offline, with no need for credits or additional spend.

This also meant all prompts, photographs, audio recordings, and project files stayed on your computer rather than being sent to a cloud service where you don't know what happens to them.

While the main focus here is the AI potential, I also ran the conventional benchmarks, and these are impressive.

If you need a cutting-edge gaming PC and want to underplay the machine's potential, this is a great compact option, especially with the OcuLink connector.

However, refocusing on AI and unlocking the EVO-X3’s AI performance proved that some knowledge and experimentation are still needed; this isn’t quite an out-of-the-box, ready-to-run solution, although GMKtec has taken huge strides in that direction.

Local AI through the GMKtec Claw software environment was impressive.

During testing, the Herdsman model manager recognised the NPU but reported that the Ryzen AI Max+ 395 was unsupported by its current NPU runtime manifests, which I found odd since the software was pre-installed.