SOPHON SM5 Mini is an AI computing module with super computing power. It is positioned in edge computing scenarios with requirements for high performance and has over 16 channels of HD video AI analysis.
SOPHON SM5 Mini is equipped with the third-generation TPU chip BM1684 independently developed by SOPHGO. It has up to 17.6TOPS of INT8 computing power and can process over 16 channels of HD video simultaneously. It has the size of a credit card and rich IO interfaces, so it can be easily integrated into edge or embedded devices. The toolchain is complete and easy to use, and the cost of algorithm migration is low.
32 Channels HD Video Hardware Decoding
With 17.6 TOPS INT8 computing power and up to 35.2 TOPS with Winograd convolution acceleration, SM5 Mini far surpasses similar products in the industry. The typical power consumption of 16-channel video stream analysis is lower than 16W.
SM5 Mini supports up to 32 channels of full HD video decoding and H264/H265 format. It can realize over 16 channels of HD video stream face detection or video structurization.
Support PCIE slave mode and SOC host mode and FP32 high precision and INT8 low precision
Support the mainstream AI frameworks including Caffe, Tensorflow, Pytorch, Paddle and Mxnet
It is applied in visual computing AI scenarios including intelligent public security, parks, retailing, power and robot UAVs.
BMNNSDK (BITMAIN Neural Network SDK) one-stop toolkit provides a series of software tools including the underlying driver environment, compiler and inference deployment tool. The easy-to-use and convenient toolkit covers the model optimization, efficient runtime support and other capabilities required for neural network inference. It provides easy-to-use and efficient full-stack solutions for the development and deployment of deep learning applications. BMNNSDK minimizes the development cycle and cost of algorithms and software. Users can quickly deploy deep learning algorithms on various AI hardware products of SOPHGO to facilitate intelligent applications.
INT8(TOPS) Winograd OFF
INT8(TOPS) Winograd ON
CPU (SOC host mode)
8-core ARM A53, 2.3GHz main frequency
High speed data interface
PCIE EP interface
PCIE 3.0, X4
PCIE RC interface
PCIE 3.0, X4
Dual Gigabit Ethernet ports
Video decoding and encoding
Video decoding capability
Video decoding format
H.264 and H.265
Maximum decoding resolution
Support 4K, 8K (semi-real time)
Picture decoding and encoding performance
480 PCS/sec @1080p
Low speed data interface
RS485 / RS232 / GPIO / SDIO /PWM / I2C / SPI etc.
Typical power consumption <20W
Maximum power consumption 25W
Heat dissipation mode
SM5-1-M includes passive heatsink
L x W x H
56 x 54 x 8mm without heatsink
62 x 58 x 33.45mm (SM5-1-M includes passive heatsink)