Mac mini M4 Pro 12-Core 64GB 4TB
- CPU
- Apple ARM M4 Pro 12 Core
- GPU
- Apple M4 Pro 16-core
- Cores
- 8P / 12T
- RAM
- 64GB · 8533 MT/s
- LAN
- 1× 1G
- Size
- 127×127×50mm · 0.81L
The CWWK/Topton Magic N100 is a mini PC powered by the Intel Celeron N100 (12th gen). It features a soldered CPU. Graphics are handled by the integrated Intel Iris Xe 24EU. Supports up to 16GB of RAM across 1 slot at 4800 MT/s. Storage capacity of up to 4 drives including 1 NVMe, 2× 2.5" SATA. Networking features 2 Ethernet ports (up to 2.5G). Dimensions: 144 × 100 × 48mm (0.69L).
Recommended for office work, web browsing, media playback, light home or business use, network-focused setups, local storage expansion, and very small desk setups. Consider CWWK/Topton Magic N100 if you want a ultra-compact mini PC built around its listed Intel Celeron N100 processor and Intel Iris Xe 24EU integrated GPU. It is less suitable for heavy gaming or GPU-accelerated workloads because no discrete or high-speed external GPU path is listed.
CWWK/Topton Magic N100 features Intel Celeron N100 with Intel Iris Xe 24EU integrated GPU, offering 2× 2.5G Ethernet and expanded internal storage. CPU details include 12th CPU generation and 4 threads. Memory support includes up to 16GB RAM across 1 slot at 4800 MT/s. Storage support includes up to 4 storage drives including 1 NVMe SSD slot, 1× PCIe Gen3 x4 NVMe, and 2× 2.5-inch SATA bays and SD card reader. Display support includes support for up to 3 displays. Port connectivity includes 1× PCIe x4 expansion slot. Networking includes 2× 2.5G Ethernet. Physical design includes a 144 × 100 × 48 mm chassis (0.69L). Power information lists 6W TDP.
Based on its overall score of 162.2, CWWK/Topton Magic N100 is positioned as a mainstream mini PC entry in this dataset; compare it against alternatives by CPU class, GPU type, memory ceiling, storage expansion, LAN, and port selection.
basic office work, web browsing, digital signage, router/firewall or homelab use, local storage expansion.
you need modern AAA gaming or sustained GPU rendering; you need a high-speed external-GPU or advanced docking path; you plan to run memory-heavy workloads.