WayPonDEV
Banana Pi BPI-F4 Liunx AI Development Board - 4GB LPDDR4 RAM 32GB eMMC - SP7350 Quad CPU 4.1TOPS 900MHz NPU Cortex-M4 MCU, for AMR AI Edge Computing, Support PyTorch/Yolo-v5-v10 (SBC Kit)
*Price sourced from Amazon.com. Last updated 2026-04-23. Price and availability subject to change.
[4.1TOPS NPU] BPI-F4 industrial-grade AI development board is equipped with the SunPlus SP7350 chip, which integrates a 4.1 TOPS NPU optimised for edge AI computing. It can efficiently perform complex AI operations such as computer vision tasks (e.g. object detection, tracking, segmentation), video/image analysis, and audio processing, meeting the real-time processing requirements of industrial scenarios. [Quad-core A55 CPU] BPI-F4 industrial grade AI development board is equipped with a quad-core ARM Cortex-A55 CPU (1.8GHz clock speed), providing powerful general-purpose computing capabiliti…
Key Features
- [4.1TOPS NPU] BPI-F4 industrial-grade AI development board is equipped with the SunPlus SP7350 chip, which integrates a 4.1 TOPS NPU optimised for edge AI computing. It can efficiently perform complex AI operations such as computer vision tasks (e.g. object detection, tracking, segmentation), video/image analysis, and audio processing, meeting the real-time processing requirements of industrial scenarios.
- [Quad-core A55 CPU] BPI-F4 industrial grade AI development board is equipped with a quad-core ARM Cortex-A55 CPU (1.8GHz clock speed), providing powerful general-purpose computing capabilities. It can handle multi-task scheduling and run lightweight AI algorithms, ensuring flexible coordination between efficient AI inference and traditional control tasks, and achieving a balance between performance and energy efficiency.
- [Develop AI. Efficiently] BPI-F4 AI linux single board computer is fully compatible with mainstream AI frameworks (including Caffe, TensorFlow, PyTorch, TFLite, DarkNet and ONNX), providing flexible algorithm deployment capabilities. Meanwhile, its pre-built support for more than 50 high-performance AI models, such as YOLO-v5/v8/v10, allows for the rapid realization of vision tasks such as target detection, classification and tracking, significantly shortening the development cycle of industrial-grade AI applications.
- [Dual-Format USB 3.0] BPI-F4 is equipped with an ultra-fast USB 3.0 interface and offers both Type-A and Type-C physical forms, greatly improving work efficiency. Please note that USB 3.0 Type-A and Type-C share the same USB 3.0 port with the SP7350 and cannot be used simultaneously.
- [ARM Cortex M4 MCU] The SP7350 CPU is capable of efficiently handling a wide range of edge AI and AIoT applications that require processing of computer vision, video, images, audio, and more. Additionally, the SP7350 integrates an ARM Cortex M4 microcontroller unit (MCU) to support machine control and peripheral device input/output (IO). The MCU operates within an independent power domain, ensuring reliable operation even when other functional blocks are powered down.
- [Wide Range of Application Scenarios] Typical AI processing tasks include motion compensation processing, object detection, tracking, segmentation, face detection, and pose detection. The SP7350 can be applied across various fields, including robotics, drones, AMR/AGV, surveillance, inspection, counting, personnel tracking, human-machine interfaces for games/non-touch control, and online meetings.
Full Specifications
| ASIN | B0FNCWXRZ8 |
|---|---|
| Brand | WayPonDEV |
| Manufacturer | Banana Pi |
| Built-In Media | show as picture |
| Warranty Description | WayPonDEV Return Policy You may return any new computer purchased from WayPonDEV that is "dead on arrival", arrives damaged, or is still in unopened boxes for the refund within 30 days of purchase. W |
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Banana Pi BPI-F4 Liunx AI Development Board - 4GB LPDDR4 RAM 32GB eMMC - SP7350 Quad CPU 4.1TOPS 900MHz NPU Cortex-M4 MCU, for AMR AI Edge Computing, Support PyTorch/Yolo-v5-v10 (SBC Kit) is available on Amazon with Prime shipping and the full Amazon returns policy. SpecPicks earns a small commission on qualifying purchases — thank you for supporting independent review work.
*Price sourced from Amazon.com. Last updated 2026-04-23. Price and availability subject to change.
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