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Orange Pi Compute Module 4 8GB+64GB, Rockchip RK3566 Quad-Core 64-Bit Single Board Compute, Orange Pi CM4 8GB RAM 64GB eMMC, Support 2.4/5.0GHz Wi-Fi & Bluetooth 5.0 (CM48G64G+WiFi)
Limited time offer, ends 06/28 By TERRA HAVEN
- Orange Pi Compute Module 4 is a compact and powerful device suitable for deep embedded applications. It is powered by Rockchip RK3566, a quad-core 64-bit Cortex-A55 processor with a 22nm advanced process that can reach up to 1.8GHz. This module also includes an integrated ARM Mali G52 2EE graphics processor, which supports OpenGL ES 1.1/2.0/3.2, OpenCL 2.0, Vulkan 1.1, and embedded high-performance 2D acceleration hardware.
- Orange Pi Compute Module 4 features an integrated RKNN NPU AI accelerator, offering 0.8Tops@INT8 performance. It supports Caffe, TensorFlow, TFLite, ONNX, PyTorch, Keras, and Darknet architecture model conversions with just one click. This functionality makes it highly versatile for various industrial IoT applications.
- Orange Pi computer module 4 offers four types of high-performance memory - 1GB, 2GB, 4GB, and 8GB - as well as different specifications for eMMC flash memory - 8GB, 16GB, 32GB, 64GB, and 128GB. Moreover, it is equipped with built-in
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Orange Pi Compute Module 4 is compact and powerful enough for deep embedded applications. Orange Pi Compute Module 4 is powered by Rockchip RK3566, a quad-core 64-bit Cortex-A55 processor, 22nm advanced process, up to 1.8GH z; integrated ARM Mali G52 2EE graphics processor, supporting OpenGL ES 1.1 / 2.0 / 3.2, OpenCL 2.0, Vulkan 1.1, embedded high-performance 2D acceleration hardware; integrated RKNN NPU AI accelerator, 0.8T ops@INT8 performance, supporting Caffe/TensorFlow/TFLite/ONNX/PyTorch/Keras/Darknet architecture model conversion with one click; provides rich interfaces, different specifications of eMMC flash memory and wireless modules, which can be widely used in industrial IoT field.
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- Return for refund within: 30 days
- Return for replacement within: 30 days
- This item is covered by TERRA HAVEN Return Policy
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