Powered by SOPHON AI processor BM1684, this core board can be configured with 12GB RAM. INT8 computing power is up to 17.6TOPS. It supports mainstream frameworks and complete, easy-to-use toolchain, featuring low cost of algorithm migration. Backplane reference design is provided for users to make further customization. It can be applied to various AI scenarios, such as visual computing, edge computing, general computing power services, intelligent transportation, unmanned supermarkets, security surveillance, UAV etc.

Specifications

Basic Specifications
SOC	SOPHON BM1684
CPU	Integrated high-performance octa-core ARM A53, 12nm lithography process, clock speed up to 2.3GHz
TPU	Built-in tensor computing module TPU, computing power up to: 17.6T(INT8)/ 2.2T(FP32)/ 35.2 T(INT8, enable winograd) TPU contains 64 NPU arithmetic units. Each NPU contains 16 EU arithmetic units, 1024 EU in total Support mainstream programming frameworks, such as TensorFlow / Caffe / PyTorch / Paddle / ONNX / MXNet / Tengine / DarkNet
VPU	Up to 32-channel H.265/H.264 1080p@30fps video decoding 1080p@50fps video encoding MJPEG image encoding and decoding up to 1080P@480fps
RAM	6GB/12GB LPDDR4/LPDDR4X
Storage	32GB/64GB/128GB eMMC
Hardware Specifications
Ethernet	Dual 1000Mbps Ethernet can be extended through GMAC
Power	12V/5A
Interfaces	PCIe3.0、GMAC、SDIO3.0、I2C、PWM、UART、GPIO
OS/Software
OS	Linux
General
Size	69.6mm × 55mm
Power Consumption	Typical：≈ 8.2W(12V/680mA) Max：≈ 19W(12V/1580mA)
Environment	Operating Temperature: -20℃～60℃ Storage Temperature: -20℃～70℃ Operating humidity: 10%～90% (non-condensing)