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Custom Smart Devices with Rockchip SBC Solutions

Pretech's SBC solutions with Rockchip RK3588, RK3588S, RK3576S, RK3568, and RK3566 processors offer high performance and flexibility for diverse applications. Perfect for developers seeking a robust, cost-effective computing platform.
Maybe you are interested in the following projects
  • RK3588 V88
    RK3588 4 x Cortex-A76 + 4 x Cortex-A55, 2.4GHz, 8nm 6.0TOPS NPU, Support INT4/INT8/INT16
    Model:V88
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  • RK3588S SOD3588S-M
    RK3588S, 4 x Cortex-A76 + 4 x Cortex-A55 2.4GHz, 8nm GPU ARM Mali-G610 MP4 Quad-Core OpenGL ES3.2/OpenCL 2.2/Vulkan1.1,450 GFLOPS 6.0TOPS NPU, Support INT4/INT8/INT16
    Model:SOD3588S-M
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  • RK3576 F76
    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.
    Model:F76
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  • RK3576 H3576
    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.
    Model:H3576
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  • RK3576 SOD3576-M
    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.
    Model:SOD3576-M
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  • RK3568 T10
    RK3568, 4 x A55, 2.0GHz, 22nm ARM G52 2EE With OpenGL ES 1.1/2.0/3.2 support, Vulkan 1.1, embedded high performance 2D acceleration hardware
    Model:T10
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  • RK3566 SOD3566-M
    RK3566, 4 x Cortex-A55, 1.8G, 22nm GPU ARM G52 2EE, 0.8 TOPS NPU
    Model:SOD3566-M
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  • RK3566 PMDP3566
    RK3566, 4 x Cortex-A55, 1.8GHz, 22nm GPU ARM G52 2EE, 0.8 TOPS NPU
    Model:PMDP3566
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