Mac mini M4 16GB 2TB
- CPU
- Apple ARM M4 10 Core
- GPU
- Apple M4 10-core
- Cores
- 4P / 10T
- RAM
- 16GB · 7500 MT/s
- LAN
- 1× 1G
- Size
- 127×127×50mm · 0.81L
The MiiElAOD R86S-P2/R86S-T2/R86S-B2 is a mini PC powered by the Intel Celeron N5105 (11th gen). It features a soldered CPU. Graphics are handled by the integrated Intel Jasper Lake 24EU. Supports up to 16GB of RAM at 2933 MT/s. Storage capacity of up to 2 drives including 1 NVMe. Networking features 3 Ethernet ports (up to 2.5G). Dimensions: 119 × 79 × 28mm (0.26L).
Recommended for office work, web browsing, media playback, light home or business use, network-focused setups, and very small desk setups. Consider MiiElAOD R86S-P2/R86S-T2/R86S-B2 if you want a ultra-compact mini PC built around its listed Intel Celeron N5105 processor and Intel Jasper Lake 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.
MiiElAOD R86S-P2/R86S-T2/R86S-B2 features Intel Celeron N5105 with Intel Jasper Lake 24EU integrated GPU, offering 3× 2.5G Ethernet. CPU details include 11th CPU generation and 4 threads. Memory support includes up to 16GB RAMat 2933 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 1 display. Networking includes 3× 2.5G Ethernet. Physical design includes a 119 × 79 × 28 mm chassis (0.26L). Cooling information lists 20 mm main fan. Power information lists 10W TDP.
Based on its overall score of 128.7, MiiElAOD R86S-P2/R86S-T2/R86S-B2 is positioned as an entry-to-midrange 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, high-speed NAS or homelab networking, very small desk setups.
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.