Beelink U57
Beelink

U57

CPU i5 5257U
GPU Iris 6100
Max RAM 8GB
Drives 3

The Beelink U57 is a mini PC powered by the Intel i5 5257U (5th gen). It features 2 performance cores and 4 threads and a soldered CPU. Graphics are handled by the integrated Intel Iris 6100. Supports up to 8GB of RAM across 1 slot at 1600 MT/s. Storage capacity of up to 3 drives including 1× 2.5" SATA. Networking features 1 Ethernet port (up to 1G). Dimensions: 124 × 113 × 42mm (0.59L).

CPU & Performance

CPUi5 5257U
Generation5th
P-Cores2
Threads4
Single-core34
Multi-core4
Socket0

GPU

GPUIris 6100
Discrete GPUNo
Integrated GPUYes
eGPU supportNo

RAM

Max RAM8GB
RAM slots1
Max speed1600 MT/s
ECC supportNo

Storage

Max drives3
2.5" SATA1
SD cardYes

Ports & Connectivity

Max displays2

Network

Max Ethernet1G
1G ports1
vProN

Physical

Dimensions124 × 113 × 42 mm
Volume0.59L
Fan size55mm
Warranty1.5 yr

Power

TDP15W

Additional

Recommended for office work, web browsing, media playback, light home or business use, local storage expansion, and very small desk setups. Consider Beelink U57 if you want a ultra-compact mini PC built around its listed Intel i5 5257U processor and Intel Iris 6100 integrated GPU. It is less suitable for heavy gaming or GPU-accelerated workloads because no discrete or high-speed external GPU path is listed.

Beelink U57 features Intel i5 5257U with Intel Iris 6100 integrated GPU, offering 1× 1G Ethernet and expanded internal storage. CPU details include 5th CPU generation, 2 performance cores, and 4 threads. Memory support includes up to 8GB RAM across 1 slot at 1600 MT/s. Storage support includes up to 3 storage drives and 1× M.2 SATA slot, 1× 2.5-inch SATA bay, and SD card reader. Display support includes support for up to 2 displays. Networking includes 1× 1G Ethernet. Physical design includes a 124 × 113 × 42 mm chassis (0.59L). Cooling information lists 55 mm main fan. Power information lists 15W TDP. Lifecycle information lists 1.5-year warranty.

The overall score is not populated for Beelink U57, so this model should be evaluated by the listed hardware specifications rather than by a ranked dataset position.

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