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Core board and Kit

Banana Pi BPI-SM9 16-ENC-A3 AI compute module with SOPHGO BM1688 chip

16 HD video intelligent analysis
Support INT4/INT8/FP16/BF16/FP32 mixed precision calculation
Support 16 HD hard solution, 10 HD hard knitting
Supports multiple VI input, audio input, Support ISP
Support binocular depth, image stitching, fisheye expansion and other hard acceleration
Rich peripherals, wide temperature and low power consumption, more flexible deployment
support SATA/USB/GbE/HDMI/CAN/SDIO…​
Compatible with NV Orin Nano/NX series modules, leading cost performance
4GB/8GB/16GB LPDDR4


    Banana Pi BPI-SM9 16-ENC-A3 deep learning computing module is equipped with the highly integrated computing technology processor BM1688 8 Core ARM CA53 1.6GHz, 8GB LPDDR4,32GB eMMC onboard.which has low power consumption, strong computing power, rich interfaces and good compatibility. Support INT4/INT8/FP16/BF16/FP32 mixed precision calculation, can support 16 high-definition video real-time analysis, flexible response to images, speech, natural language and other scenes, can be integrated in intelligent server, edge intelligent computer box, industrial computer, drone, AIOT and other types of products.

    The SOPHGO processor BM1688 is a highly integrated deep learning vision processor for deep learning reasoning and computer vision. Support 16 TOPS INT8, support mixed precision calculation. It can be integrated in microserver, intelligent computing module, industrial computer, professional network camera, AIOT and other types of products. Efficient adaptation of all deep learning algorithms in the market, image classification, object detection, instance segmentation, semantic segmentation, behavior analysis, text recognition, natural language processing, speech recognition, speech synthesis, search and recommendation applications, for various industries to enable intelligent computing; And integrated image processing hardware: support HDR wide dynamic, 3D noise reduction, 3A, fog removal and other image enhancement, to provide customers with professional video image quality.

    Toolchain supports the model format of ONNX/Caffe/TFLite framework; TensorFlow/Pytorch/Paddle/TensorRTBM1684/BM1684X compatible

    Hardware interface:


    Hardware spec:

    Banana Pi BPI-SM9 16-ENC-A3计算模组硬件规格

    Module

    SM9 16-ENC-A3

    CPU

    8 core ARM CA53 1.6GHz

    hashrate

    16 HD video intelligent analysis

    RAM

    8GB LPDDR4x 64bits 4266Mbps

    Flash

    32GB eMMC 5.1

    Video decode

    H.264&H.265: 16x 1080P@30fps,support 8192 * 8192 / 8K / 4K / 1080P / 720P / D1 / CIF

    Video incode

    H.264&H.265: 10x 1080P@30fps,support 8K / 4K / 1080P / 720P / D1 / CIF

    Picture codec

    JPEG:1080P@480fps,max support 32768 * 32768

    Audio and video input

    6x VI

    2x I2S 2x Dual channel input and output (optional)

    ISP

    2x8Mp30, 2f-HDR, 3DNR / LDC / 3A / Dehaze

    CV

    IVE/VPSS + DPU(Binocular depth) + Stitch(image stitching) + Dewarp

    PCIE

    PCIe Gen3 1 x2 + 1 x2 RC&EP

    USB

    2x USB3.0, 2x USB2.0

    Network

    2x GbE

    Display

    1x HDMI 2.0

    Others

    2x SATA3.0, 1x CAN, 1x SD/SDIO, 4x UART, 4x I2C, 6x PWM, 2x SPI, ADC, GPIOs

    Power

    DC 5V

    Operating temperature

    -20℃ ~ +70℃

    connector

    260-pin SO-DIMM

    size

    69.6mm x 45mm x 6mm

    BPI-SM9 developer’s kit

    Please submit your basic information, we will contact you as soon as possible!

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