Banana Pi StarFive VisionFive JH7100 4GB
Banana Pi

StarFive VisionFive JH7100 4GB

CPU ARM U74
GPU Imagination BX-4-32
Max RAM 4GB
Drives 1

The Banana Pi StarFive VisionFive JH7100 4GB is a mini PC powered by the ARM ARM U74 (SiFive gen). It features 2 performance cores and 2 threads and a soldered CPU. Graphics are handled by the integrated ARM Imagination BX-4-32. Supports up to 4GB of RAM. Storage capacity of up to 1 drive. Networking features 1 Ethernet port (up to 1G). Dimensions: 100 × 72 × 21mm (0.15L).

CPU & Performance

CPUARM U74
GenerationSiFive
P-Cores2
Threads2
Socket0

GPU

GPUImagination BX-4-32
Discrete GPUNo
Integrated GPUYes
eGPU supportNo

RAM

Max RAM4GB
ECC supportNo

Storage

Max drives1
SD cardYes

Ports & Connectivity

Max displays3

Network

Max Ethernet1G
1G ports1
vProN

Physical

Dimensions100 × 72 × 21 mm
Volume0.15L

Power

PSU15W

Additional

Recommended for office work, web browsing, media playback, light home or business use, and very small desk setups. Consider Banana Pi StarFive VisionFive JH7100 4GB if you want a ultra-compact mini PC built around its listed ARM ARM U74 processor and ARM Imagination BX-4-32 integrated GPU. It is less suitable for heavy gaming or GPU-accelerated workloads because no discrete or high-speed external GPU path is listed.

Banana Pi StarFive VisionFive JH7100 4GB features ARM ARM U74 with ARM Imagination BX-4-32 integrated GPU, offering 1× 1G Ethernet. CPU details include SiFive CPU generation, 2 performance cores, and 2 threads. Memory support includes up to 4GB RAM. Storage support includes up to 1 storage drive and SD card reader. Display support includes support for up to 3 displays. Port connectivity includes USB-C Power Delivery input at 15W. Networking includes 1× 1G Ethernet. Physical design includes a 100 × 72 × 21 mm chassis (0.15L). Power information lists 15W power supply.

The overall score is not populated for Banana Pi StarFive VisionFive JH7100 4GB, so this model should be evaluated by the listed hardware specifications rather than by a ranked dataset position.

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