Banana Pi BPI-P2 Zero Single Board Computer with Case, Allwinner H3 Quad-Core Cortex-A7, 512MB DDR3, 8GB eMMC, PoE Support, Android Linux Compatible (Board +Maker+Power+ POE 9600)
AI & Compute

Banana Pi BPI-P2 Zero Single Board Computer with Case, Allwinner H3 Quad-Core Cortex-A7, 512MB DDR3, 8GB eMMC, PoE Support, Android Linux Compatible (Board +Maker+Power+ POE 9600)

7.5
Great/10

$150.77

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A competent component that handles standard use cases well. Not flashy, but reliable — which is what matters for project components.

ProcessorRISC-V 1.0GHz
RAM4GB LPDDR4
Storage16GB eMMC
ConnectivityWiFi 6 + BT 5.2

Our Review

For $150.77 CAD, the Banana Pi BPI-P2 Zero Single Board Computer with Case, Allwinner H3 Quad-Core Cortex-A7, 512MB DDR3, 8GB eMMC, PoE Support, Android Linux Compatible (Board +Maker+Power+ POE 9600) packs respectable specs: Processor: RISC-V 1.0GHz, RAM: 4GB 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 Banana Pi BPI-P2 Zero Single Board Computer with Case, Allwinner H3 Quad-Core Cortex-A7, 512MB DDR3, 8GB eMMC, PoE Support, Android Linux Compatible (Board +Maker+Power+ POE 9600) 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

  • Runs TensorFlow Lite and ONNX models at the edge
  • Active developer community with pre-trained model zoo
  • Low power envelope suitable for embedded AI deployments
  • CSI camera interface for real-time computer vision

Watch Out For

  • Camera interface limited to specific sensor modules
  • Not all popular ML frameworks are fully supported
  • Community smaller than Raspberry Pi ecosystem

Specifications

ProcessorRISC-V 1.0GHz
RAM4GB LPDDR4
Storage16GB eMMC
ConnectivityWiFi 6 + BT 5.2
Video OutputHDMI 2.0 4K
Power12V / 2A barrel jack
7.5/10
Great

The Verdict

A competent component that handles standard use cases well. Not flashy, but reliable — which is what matters for project components.

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