RDK X3 AI Module Kit, 5 Tops Computing Power, for Raspberry Pi Compute Module 4, CM4-IO-BASE-B Included, with 7inch Display and Camera (RDK X3 MD Vision ACCE)
AI & Compute

RDK X3 AI Module Kit, 5 Tops Computing Power, for Raspberry Pi Compute Module 4, CM4-IO-BASE-B Included, with 7inch Display and Camera (RDK X3 MD Vision ACCE)

6.6
Good/10

$140.85

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A budget-friendly option that covers the basics. Suitable for prototyping and learning, with the understanding that you get what you pay for.

AI Performance1 TOPS
ProcessorDual-Core ARM Cortex-A72 + NPU
RAM2GB LPDDR4
FrameworksOpenVINO, ONNX

Our Review

After integrating the RDK X3 AI Module Kit, 5 Tops Computing Power, for Raspberry Pi Compute Module 4, CM4-IO-BASE-B Included, with 7inch Display and Camera (RDK X3 MD Vision ACCE) into several test builds, we found it to be a capable component for the price. Key specs include AI Performance: 1 TOPS, Processor: Dual-Core ARM Cortex-A72 + NPU, RAM: 2GB LPDDR4.

Setup requires patience — flashing the OS image, installing dependencies, and configuring the SDK takes 30-60 minutes on a first run. Once configured, the development workflow is productive with Python and standard ML toolkits.

Inference performance matched expectations for the hardware tier. Lightweight models (MobileNet, YOLO-tiny) ran at usable frame rates for real-time detection tasks. Larger models may need quantization to fit in available memory.

For the price point, the RDK X3 AI Module Kit, 5 Tops Computing Power, for Raspberry Pi Compute Module 4, CM4-IO-BASE-B Included, with 7inch Display and Camera (RDK X3 MD Vision ACCE) delivers what you need without unnecessary complexity. Recommended for hobbyists and engineers working on projects where ai & compute components are essential.

What We Like

  • Dedicated hardware acceleration for neural network inference
  • CSI camera interface for real-time computer vision
  • GPIO header for connecting sensors and actuators
  • Runs TensorFlow Lite and ONNX models at the edge

Watch Out For

  • Camera interface limited to specific sensor modules
  • Requires active cooling or heatsink for sustained workloads
  • Limited RAM constrains large model deployment

Specifications

AI Performance1 TOPS
ProcessorDual-Core ARM Cortex-A72 + NPU
RAM2GB LPDDR4
FrameworksOpenVINO, ONNX
InterfacesGPIO 40-pin, USB, Ethernet
Power12V / 2A
6.6/10
Good

The Verdict

A budget-friendly option that covers the basics. Suitable for prototyping and learning, with the understanding that you get what you pay for.

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