RK3576 SOM: Enabling Innovation Across Diverse Industries
RK3576 SOM: Enabling Innovation Across Diverse Industries
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RK3576 SOM: Enabling Innovation Across Diverse Industries

RK3576, 4 x Cortex-A72 + 4 x Cortex-A53 2.3GHz, 8nm
GPU ARM Mali-G52 MC3
OpenGL ES3.2/OpenCL 2.0/Vulkan1.1
6.0TOPS NPU, INT4,INT8,INT16, float16, Bfloat 16 and tf32 operation
Supports deep learning framework：TensorFlow, Caffe, Tflite, Pytorch, Onnx NN，Android NN, etc.
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RK3576 SOM: Enabling Innovation Across Diverse Industries

SOM3576

RK3576, 4 x Cortex-A72 + 4 x Cortex-A53 2.3GHz, 8nm
GPU ARM Mali-G52 MC3
OpenGL ES3.2/OpenCL 2.0/Vulkan1.1
6.0TOPS NPU, INT4,INT8,INT16, float16, Bfloat 16 and tf32 operation
Supports deep learning framework：TensorFlow, Caffe, Tflite, Pytorch, Onnx NN，Android NN, etc.
SOM3576

PRODUCT DETAIL

SOM3576
  • RK3576, 4 x Cortex-A72 + 4 x Cortex-A53 2.3GHz, 8nm<br>GPU ARM Mali-G52 MC3<br>OpenGL ES3.2/OpenCL 2.0/Vulkan1.1<br>6.0TOPS NPU, INT4,INT8,INT16, float16, Bfloat 16 and tf32 operation<br>Supports deep learning framework：TensorFlow, Caffe, Tflite, Pytorch, Onnx NN，Android NN, etc.
    SOC
    RK3576, 4 x Cortex-A72 + 4 x Cortex-A53 2.3GHz, 8nm
    GPU ARM Mali-G52 MC3
    OpenGL ES3.2/OpenCL 2.0/Vulkan1.1
    6.0TOPS NPU, INT4,INT8,INT16, float16, Bfloat 16 and tf32 operation
    Supports deep learning framework：TensorFlow, Caffe, Tflite, Pytorch, Onnx NN，Android NN, etc.
  • Connectivity
    Connectivity
    WIFI6 802.11a/b/g/n/ac/ax，Bluetooth5.2（The carrier board）
  • USB 3.2 Gen1 supports type-C AltMode with DP<br>PCIe 2.1/SATA 3.0/USB 3.0 combo port<br>PCIe 2.1/SATA 3.0 combo port<br>UART/I2C/SPI/PCM/PWM/ADC/SDMMC/GPIO
    Interface
    USB 3.2 Gen1 supports type-C AltMode with DP
    PCIe 2.1/SATA 3.0/USB 3.0 combo port
    PCIe 2.1/SATA 3.0 combo port
    UART/I2C/SPI/PCM/PWM/ADC/SDMMC/GPIO

Specification

  • OS
    Android14
  • SOC
    RK3576, 4 x Cortex-A72 + 4 x Cortex-A53 2.3GHz, 8nm
    GPU ARM Mali-G52 MC3
    OpenGL ES3.2/OpenCL 2.0/Vulkan1.1
    6.0TOPS NPU, INT4,INT8,INT16, float16, Bfloat 16 and tf32 operation
    Supports deep learning framework：TensorFlow, Caffe, Tflite, Pytorch, Onnx NN，Android NN, etc.
  • RAM
    LPDDR4 4G/6G/8G
    LPDDR5 4G/6G/8G/12G/16G
  • ROM
    EMMC5.1 64G/128G
  • Media
    Decode:
    4K@60fps H.264/AVC
    8K@30fps or 4K@120fps H.265/HEVC/VP9/AVS2/AV1
    1080@60fps H264/MVC

    Encoded:
    Dual video encoders which support H.265 and H.264
    H.264 and H.265 up to 4K@60fps
    Supports multi-stream encoding
  • Display
    1 x HDMI2.1/eDP1.3 Combo TX, up to 4K@120Hz
    1 x 4-Lane MIPI-DSI-2 TX with C/D-PHY,up to 2560x1600@60hz
    1 x DisplayPort 1.4@ 4K60/USB3.2 gen1x1 Combo TX
    1 x E-ink EPD (Electronic Paper Display) TX @ 2560x1920
    1 x Parallel interface (RGB888) TX @ 1080P60
    1 x MIPI CSI-2 with D-PHY (4x1, 2x2)
    1 x MIPI CSI-2 with C/D-PHY (4x1)
    1 x DVP 8/10/12/16-bit
    16M Pixel ISP with HDR (up to 120dB)
  • Ethernet
    1000M Ethernet x 2（The carrier board）
  • Connectivity
    WIFI6 802.11a/b/g/n/ac/ax，Bluetooth5.2（The carrier board）
  • USB
    USB3.1 OTG x 1
    USB 3.0 x 1
    USB2.0 x n (The carrier board）
  • Micro SD Card
    Micro SD card,up to 128GB（The carrier board）
  • Audio
    Can be customized
  • Interface
    USB 3.2 Gen1 supports type-C AltMode with DP
    PCIe 2.1/SATA 3.0/USB 3.0 combo port
    PCIe 2.1/SATA 3.0 combo port
    UART/I2C/SPI/PCM/PWM/ADC/SDMMC/GPIO

    Other Interfaces:
    9 x I2C/10 x UART/5 x SPI/7 x ADC/16 x PWM /1 x SDMMC/GPIO
  • Input Power
    The carrier board can be customized
  • PCB
    Size: 45 x 55 x 1.0mm
    Process: 6-layer HDI Immersion Gold
    Package:LCC+LGA(246PIN-1.0mm)
  • Environment
    Operating temperature -20°C ~ 60°C

Inquriy

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