TEXHOO

ZN11 5700U

CPU r7 5700U

GPU Vega 8

Max RAM 64GB

Drives 2

Seller Aliexpress

The TEXHOO ZN11 5700U is a mini PC powered by the AMD r7 5700U (Zen 2+ gen). It features 8 performance cores and 16 threads and a soldered CPU. Graphics are handled by the integrated AMD Vega 8. Supports up to 64GB of RAM across 2 slots at 3200 MT/s. Storage capacity of up to 2 drives including 1 NVMe. Networking features 2 Ethernet ports (up to 2.5G). Dimensions: 130 × 127 × 53mm (0.88L).

CPU & Performance

CPUr7 5700U

GenerationZen 2+

P-Cores8

Threads16

Single-core51

Multi-core23

Socket0

GPU

GPUVega 8

Discrete GPUNo

Integrated GPUYes

eGPU supportNo

RAM

Max RAM64GB

RAM slots2

Max speed3200 MT/s

ECC supportNo

Storage

Max drives2

NVMe slots1

Gen3 x41

SD cardYes

Ports & Connectivity

Max displays4

Network

Max Ethernet2G

2.5G ports2

vProN

Physical

Dimensions130 × 127 × 53 mm

Volume0.88L

Fan size70mm

Power

TDP15W

Additional

Recommended for productivity, software development, multitasking, media use, light gaming, larger multitasking workloads, and network-focused setups. Consider TEXHOO ZN11 5700U if you want a ultra-compact mini PC built around its listed AMD r7 5700U processor and AMD Vega 8 integrated GPU. It is less suitable for heavy gaming or GPU-accelerated workloads because no discrete or high-speed external GPU path is listed.

TEXHOO ZN11 5700U features AMD r7 5700U with AMD Vega 8 integrated GPU, offering 2× 2.5G Ethernet. CPU details include Zen 2+ CPU generation, 8 performance cores, and 16 threads. Memory support includes up to 64GB RAM across 2 slots at 3200 MT/s. Storage support includes up to 2 storage drives including 1 NVMe SSD slot, 1× PCIe Gen3 x4 NVMe, and SD card reader. Display support includes support for up to 4 displays. Networking includes 2× 2.5G Ethernet. Physical design includes a 130 × 127 × 53 mm chassis (0.88L). Cooling information lists 70 mm main fan. Power information lists 15W TDP.

The overall score is not populated for TEXHOO ZN11 5700U, so this model should be evaluated by the listed hardware specifications rather than by a ranked dataset position.