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Orange Pi 5 Pro 4GB LPDDR5 8 Core 64 Bit RK3588S Single Board Computer, 8K Video Decoding 2.4GHz Frequency WiFi Bluetooth Open Source Board Run Orange Pi OS, Android, Linux
AI & Compute

Orange Pi 5 Pro 4GB LPDDR5 8 Core 64 Bit RK3588S Single Board Computer, 8K Video Decoding 2.4GHz Frequency WiFi Bluetooth Open Source Board Run Orange Pi OS, Android, Linux

6.6
Good/10

$179.54

Disclosure: CircuitTrail earns from qualifying purchases as an Amazon Associate. Prices and availability may change.

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

ProcessorHexa-Core ARM big.LITTLE
RAM2GB LPDDR4
Storage16GB eMMC
ConnectivityWiFi + BLE + Ethernet

Our Review

For $179.54 CAD, the Orange Pi 5 Pro 4GB LPDDR5 8 Core 64 Bit RK3588S Single Board Computer, 8K Video Decoding 2.4GHz Frequency WiFi Bluetooth Open Source Board Run Orange Pi OS, Android, Linux packs respectable specs: Processor: Hexa-Core ARM big.LITTLE, RAM: 2GB LPDDR4, Storage: 16GB eMMC. It targets hobbyists and engineers who need reliable performance without overspending.

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.

The Orange Pi 5 Pro 4GB LPDDR5 8 Core 64 Bit RK3588S Single Board Computer, 8K Video Decoding 2.4GHz Frequency WiFi Bluetooth Open Source Board Run Orange Pi OS, Android, Linux earns its place in the parts bin. Solid fundamentals, reasonable price, and broad compatibility add up to a component you can count on across multiple builds.

What We Like

  • Linux-based OS supports Python and standard ML frameworks
  • Runs TensorFlow Lite and ONNX models at the edge
  • CSI camera interface for real-time computer vision
  • GPIO header for connecting sensors and actuators

Watch Out For

  • Draws significant power under full inference load
  • Camera interface limited to specific sensor modules
  • Requires active cooling or heatsink for sustained workloads

Specifications

ProcessorHexa-Core ARM big.LITTLE
RAM2GB LPDDR4
Storage16GB eMMC
ConnectivityWiFi + BLE + Ethernet
Video OutputMini-HDMI
Power5V / 3A
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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