BeiQi RK3399Pro AIoT 96Boards Compute SoM
TB-96AI is a powerful core board for artificial intelligence. Carrier Board developed can form a complete development board or evaluation board; and the board customized by customers according to actual needs can directly form the industry application motherboard, which can meet industrial automation, UAV, image detection, face recognition, edge computing gateway, cluster server, Intelligent Quotient display, automatic driving, medicine. Application needs of market segments such as health care equipment, robots and intelligent retail.TB-96AI uses RK3399Pro as the main control chip and TB-96AIoT uses RK1808 as the main control chip.FeaturesSix-core 64-bit processor, superior general-purpose computing powerDual-core ARM Cortex-A72 MPcore processor and quad-core ARM Cortex-A53 MPcore processor are high-performance, low-power and cache application processors.Two CPU clusters. Big cluster with dual-coreCortex-A72 is optimized for high-performance and little cluster with quad-core Cortex-A53 is optimized for low powerFull implementation of the ARM architecture v8-A instruction set, ARM Neon Advanced SIMD (single instruction, multiple data) support for accelerating media and signal processingSupporting 8 bit/16 bit operation, AI computing power up to 3.0 TOPs (INT8 Inference)Full load calculation is strong and light load operation power consumption is low.Compatible with Caffe/Mxnet/TensorFlow model, it can support multiple frameworks, support mainstream layer types, and add custom layer easilyProvide easy-to-use development tools, PC can complete model conversion, performance prediction, accuracy verification.Provide AI application development interface: support Android NN API, RKNN cross-platform API, Linux support TensorFlow development;Powerful Multimedia Processing PerformanceIntegrated quad-core ARM Mali-T860MP4 GPU, support OpenGL ES1.1/2.0/3.0, OpenCL1.2, Directx11.1, etc., with more bandwidth compression technologyStrong hardware codec capabilitySupport 4K VP9 and 4K 10bits H265/H264 video decoding up to 60fpsSupport 1080P multi-format video decoding (VC-1, MPEG-1/2/4, VP8)Support 1080P video encoding, support H.264, VP8 formatMultiple video input and output interfacesDual camera interface: two MIPI-CSI input interfaces with two ISP image processorsDisplay output interface: Embed two VOPs, support dual-screen simultaneous/dual-screen display, and can choose to output from the following display interface.Rich expansion interfaceType-C/DP¡Á1,OTGUSB2.0¡Á2,HOSTUSB3.0¡Á1,According to the RK3399Pro design, the NPU needs to be mounted on the USB3.0, so the USB3.0 needs to be connected back to the NPU. If you need to extend the USB3.0 interface, you need to plug in the HUB.SDMMC¡Á1SPI¡Á1CPU Debug UART¡Á1,NPU Debug UART¡Á1UART¡Á1I2S¡Á1SDIO¡Á1I2C¡Á1PCIe¡Á1PWM¡Á2GPIO,For detailed GPIO definition, please refer to interface definition.ADC¡Á3,One for buttons, one for headset microphone detection, and one for user-definable useHigh-speed on-board connector for more stability and reliability4 Panasonic high-speed onboard connectors for higher speed signal stabilityThe core board can be fixed by 4 screw posts for various working environments.Support for multiple operating systemsSupport Android, Linux, UbuntuSupport U disk upgrade through USB interfaceHardware related informationCircuit schematic reference designConnector PCB packageCore board sizePin definition, interface packageSoftware related informationSoftware development guide.pdfTools. RK driver assistant, firmware upgrade tool, etcFirmware. Android firmware, Linux firmwareSource code. Android SDK source codeSpecificationsBasic ParametersSoC Rockchip RK3399ProGPU ARM Mali-T860 MP4 Quad-core GPUSupport OpenGL ES1.1/2.0/3.0/3.1, OpenVG1.1, OpenCL, DX11Support AFBC (frame buffer compression)CPU Dual-core Cortex-A72 up to 1.8GHzQuad-core Cortex-A53 up to 1.4GHzNPUSupport 8bit/16bit operation, computing power up to 3.0TOPSFull load computing power, low load operation power consumption is lowCompatible with Caffe/Mxnet/TensorFlow model, support multiclass framework, support mainstream layer type, easy to add a custom layerProvides easy-to-use development tools, PC-based model conversion, performance estimation, and accuracy verificationProvide AI application development interface: support Android NN API, provide RKNN cross-platform API, Linux support TensorFlow development;VPUSupport 4K VP9 and 4K 10bits H265/H264 video decoding, up to 60fps1080P multi-format video decoding (WMV, MPEG-1/2/4, VP8)1080P video encoding, support H.264, VP8 formatVideo post processor: de-interlacing, denoising, edge/detail/color optimizationRAM3GB LPDRR3(CPU 2GB + NPU 1GB)Flash16GB eMMCHardware CharacteristicsEthernet Built-in Gigabit Ethernet PHY chip, 10/100/1000Mbps adaptiveCamera InterfaceMIPI-CSI¡Á2,Dual camera interface (built-in dual hardware ISP, up to single 13Mpixel or dual 8Mpixel)Display Interface MIPI-DSIeDPDPHDMI (Support 480p/480i/576p/576i/720p/1080p/1080i/4k, support RGB format)Audio PortI2S0£ºSupport user extended useI2S1£ºSpeaker¡Á1, Headphone¡Á1, MIC¡Á1I2S2£ºHDMI interface audio output; DP interface audio output;Type-C USB3.0/DisplayPort 1.2,OTGUSBUSB3.0¡Á1 (according to RK3399Pro design, NPU needs to be mounted on USB3.0, so USB3.0 needs to connect back to NPU, if you need to expand USB3.0 interface, you need external HUB);USB2.0¡Á2, HOSTExtension PortSDMMC(TF Card)¡Á1;SPI¡Á1;UART¡Á3,One of the CPU Debug UARTs, one NPU Debug UART;I2C¡Á6;SDIO¡Á1;PCIe¡Á1;PWM¡Á2;GPIO,For detailed GPIO definitions, please refer to the interface definition;ADC¡Á3,One for buttons, one for headset microphone detection, and one for user-definable use;Power input DC 5V