AceMagic

AD03

CPU Celeron N95

GPU Iris Xe 16EU

Max RAM 16GB

Drives 2

From $105

Seller Ebay

The AceMagic AD03 is a mini PC powered by the Intel Celeron N95 (12th gen). It features a soldered CPU. Graphics are handled by the integrated Intel Iris Xe 16EU. Supports up to 16GB of RAM across 1 slot at 3200 MT/s. Storage capacity of up to 2 drives including 1× 2.5" SATA. Networking features 2 Ethernet ports (up to 1G). Dimensions: 137 × 129 × 55mm (0.97L).

CPU & Performance

CPUCeleron N95

Generation12th

Threads4

Single-core39

Multi-core9

Socket0

GPU

GPUIris Xe 16EU

Discrete GPUNo

Integrated GPUYes

eGPU supportNo

RAM

Max RAM16GB

RAM slots1

Max speed3200 MT/s

ECC supportNo

Storage

Max drives2

2.5" SATA1

SD cardNo

Ports & Connectivity

Max displays2

Network

Max Ethernet2G

1G ports2

vProN

Physical

Dimensions137 × 129 × 55 mm

Volume0.97L

Fan size80mm

Warranty3 yr

Power

TDP15W

Additional

Recommended for office work, web browsing, media playback, light home or business use, and very small desk setups. Consider AceMagic AD03 if you want a ultra-compact mini PC built around its listed Intel Celeron N95 processor and Intel Iris Xe 16EU integrated GPU. It is less suitable for heavy gaming or GPU-accelerated workloads because no discrete or high-speed external GPU path is listed.

AceMagic AD03 features Intel Celeron N95 with Intel Iris Xe 16EU integrated GPU, offering 2× 1G Ethernet. CPU details include 12th CPU generation and 4 threads. Memory support includes up to 16GB RAM across 1 slot at 3200 MT/s. Storage support includes up to 2 storage drives and 1× M.2 SATA slot and 1× 2.5-inch SATA bay. Display support includes support for up to 2 displays. Networking includes 2× 1G Ethernet. Physical design includes a 137 × 129 × 55 mm chassis (0.97L). Cooling information lists 80 mm main fan. Power information lists 15W TDP. Lifecycle information lists 3-year warranty.

The overall score is not populated for AceMagic AD03, so this model should be evaluated by the listed hardware specifications rather than by a ranked dataset position.