Best Yahboom Single Board Computers in 2026

Broadcom BCM2711, quad-core Cortex-A72 (ARM v8) 64-bit SoC @ 1. 5GHz---4GB LPDDR4-2400 SDRAM

2. 4 GHz and 5. 0 GHz IEEE 802. 11B/g/n/ac Wireless LAN, Bluetooth 5. 0, double-true Gigabit Ethernet

2 × USB 3. 0 ports, 2 x USB 2. 0 Ports---2 × micro HDMI ports supporting up to 4Kp60 video resolution

powful cputhe cpu of the raspberry pi 4 model b adopts the latest arm cortex-a72 architecture, which is also used in high-performance smartphones, and has evolved into a real pc.the operating clock has been changed from pi3's 1.2ghz to 1.5ghz, and the speed has become a different dimension with the updated architecture.

video output/gputhe on-board gpu of the raspberry pi 4 supports 4kp@60 and newly supports h.265 decoding, opengl es 3.0, etc.as for the video output, two micro hdmis with smaller connectors are installed, and the raspberry pi 4 also supports dual screen output.

usb 3.0with a new soc, the speed of the raspberry pi 4 around i/o has been improved, and finally usb 3.0 is supported.usb boot is faster and more convenient.

LATEST SOFTWARE SUPPORT: Ubuntu 22.04 LTS and Raspbian 11 support with hardware-accelerated video playback and 3D graphics. Upstream software stack featuring the latest Linux 6.x with open source graphics and video libraries. UEFI support with GRUB sofware behaves like PCs. Direct first software support and community hub for third party help to get started. Video tutorials on YouTube for commonly asked questions.

COMPATIBILITY AND EXTENSIBILITY: Great RPi alternative with same form factor as Pi 3 Model B for re-use with existing cases and power supplies. Identically designed 40-pin header enables hardware re-use by maintaining same pins for functions like SPI, I2C, PWM, UART, and more. Powerful GPIO wiring tool, libretech-wiring-tool, is available on Github that can quickly toggle GPIOs and dynamically control dtoverlays for faster design, testing, and learning.

HIGH PERFORMANCE LOW POWER: AML-S905X-CC performs faster than a Pi 3 B+ while using half the power. It is designed with power optimizations to increase sustained performance under load and reduce failures due to input voltage and current. It is one of the first SBCs to support 4K multi-codec hardware decoding and features a highly performant OpenGL ES 2.0 GPU for accelerated 2D/3D.

【Update AI Function】Raspberry Pi tank kit is compatible with the Raspberry Pi 4 module B (2G/4G/8G). It not only retains the basic functions of difficult line tracking, ultrasonic obstacle avoidance, and real-time video transmission, but the upgraded kit also adds AI functions such as face detection/tracking, color/object/gesture/QR code recognition. These new AI features make the tank more interesting.

【Real-time transmission of 5G HD video】Robot tank is professional DIY toy, suitable for electronic amateurs and teens over 16 years old. The tank is equipped with 2DOF camera PTZ, which can realize real-time transmission of HD video through the 5G wifi hotspot on Raspberry Pi. The camera supports 480P resolution with manually adjusted the focal length and two camera formats: MJPEG, YUYV(default). With 4B, video transmission is smoother and more stable. An assembled tank is like a moving camera.

【Programmed&tutorials&APP】Robot work with Raspberry Pi 4B, using Python/C++ as the main programming language and Open Source CV as the image processing library, you can develope the kit through the development tool Jupyter Lab. Yahboom provides online learning materials. You can download the "Yahboom Robot" APP (Android and iOS) to control the tank. If you are inexperienced, you can find "G1 tank initial tutorial video" at the bottom of the product page.

【Stable&Faster Performance】Built-in 4GB DDR4 /64GB eMMC, Celeron Processor N4020,up to 2.80GHz,running faster and more stable.

【Portable and Silent】 Equipped with a mounting bracket can be easily fixed to the back of the monitor and space saving.The fanless design with 6w SDP come trues the electricity bills saving and zero noise.

【Dual screen HD display】 Integrated UHD Graphics 600 supports 2x monitors 4K@60Hz using HDMI and VGA ports. It’s ideal for multitasking, home theater, office working, digital Security and surveillance, digital signage, media center,conference room etc.

HIGH PERFORMANCE DESIGN: Quad 64-bit 1.4GHz ARM Cortex-A53 Processors, 4K Ultra HD ARM Mali-450 GPU, 2GB of High Bandwidth DDR4, 4K 60FPS High Dynamic Range Display Engine for H.265 HEVC, H.264 AVC, VP9 Hardware Decoding and 1080P 60FPS H.264 Harware Encoding, Up to 40% faster than Raspberry Pi 3.

UNMATCHED IO PERFORMANCE: Equipped with superfast Gigabit Ethernet and lightning speed 5Gbps USB 3, Renegade will power through mixed workloads unlike any sub $50 SBC can dream of. Turn it into a NAS, Kubernetes cluster, file server, wire speed encrypted router/VPN, and more! The performance and possibilities are endless.

COMPATIBILITY AND EXTENSIBILITY: 40 Pin header enables hardware re-use by maintaining compatible alternate pin functions like SPI, I2C, PWM, UART, and GPIO. Additional design features include ultra high speed (UHS) Micro SD card support, onboard IR, ADC header, eMMC module expansion connector, and more. Form-factor compatible with Raspberry Pi 3 for easy migration. Software made for Raspberry Pi is not compatible!

Orange Pi 5 uses Rockchip RK3588S new generation 8-core 64-bit processor, quad-core A76+quad-core A55, with 8nm process design, up to 2.4GHz main frequency, integrated ARM Mali-G610 GPU, embedded high-performance 3D/2D image acceleration module, built-in NPU with 6Tops computing power, with 4GB (LPDDR4/4x), and up to 8K display processing capability.

Orange Pi 5 Single Board Computer provides abundant interfaces, including HDMI output, GPIO interface, M.2 PCIe2.0, Type-C, Gigabit LAN port, 2*USB2.0, 1*USB3.0, etc.

Orange Pi 5 microcontroller open source board mini computer can be widely used in tablets, edge computing, artificial intelligence, cloud computing, AR/VR, intelligent security, smart home and other fields, covering AIoT various industries.

High Performance: Amlogic A311D - x4 2.2Ghz Cortex A73, x2 1.8Ghz Cortex A53 12nm SoC fabrication process for low heat 2T2R AC Wi-Fi with RSDB Features Bluetooth 5.0 USB 3.0 Available Gigabit Ethernet with WOL support LPDDR4/X USB-C PD for heavy applications

Neural Network Accelerator: NPU: Supports a maximum frequency of 800MHz at 5.0 TOPS INT8 inference up to 1536 MAC Internal L2 cache (512KB) and system workspace buffer (1MB) Supports all major deep learning frameworks including TensorFlow and Caffe

Maker Friendly: Stackable Design Programmable MCU 3 Programmable LEDs (Blue, Red and White) XPWR for external Power button Onboard SPI Flash Khadas TST Khadas KBI

Orange Pi 5B uses a new generation of 8-core 64-bit processors from Ruixin Micro-RK3588S, specifically quad-core A76+quad-core A55. It adopts an 8nm process design, with a main frequency up to 2.4GHz. It integrates an ARM Mali-G610 MP4 GPU, built-in high-performance 3D and 2D image acceleration modules, and built-in AI accelerator NPU with up to 6 Tops of computing power. It has 16GB (LPDDR4/4x) and 128GB eMMC, dual band Wi-Fi6, BT5.0, and up to 8K display processing capabilities.

Orange Pi 5B Single Board Computer has a variety of interfaces, including HDMI output, Type-C, USB3.0, USB2.0, RJ45 gigabit network interface, TF card socket, 3.5mm headphone jack, MIPI LCD interface, MIPI Camera interface, multi-functional 26 Pin expansion interface, etc

Orange Pi 5B Mini PC can be widely used in high-end tablet, edge computing, artificial intelligence, cloud computing, AR/VR, intelligent security, smart home and other fields, covering all AIoT industries.

4GB SUB B01 substitute NOT exactly equal to official B01 (slight difference),

【Perfect Alternative】 Jetson Nano 4GB SUB is a highly consistent developer kit based on official Jetson nano 4GB core module, the only difference is that Yahboom Jetson Nano 4GB SUB motherboard comes with 16G-eMMC memory, no need to use TF separately The card can run, at the same time, it can expand the USB3.0 U disk, or use the 3.0 card reader and TF card to expand the memory. Please note that the SUB does not have an SD card slot, and the expansion of memory can only be solved through a U disk

The Jetson Nano 4GB SUB Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.

【Cost-effective motherboard solution】The NVI-DIA Jetson TX2-NX delivers up to 2.5 times the performance of the Jetson NANO in the same form factor and pin compatibility. It is a rare and cost-effective development board solution.

【Applications】TX2-NX development kit provides developers, engineers, and students with an affordable new option with greatly improved performance.Is the first choice for developing ROS educational robot, AI Computational Neural Network-SDK, AI edge computing Kit, vision robotic arm, ROS bionic robot

【Packing list】 The kit includes the installed jetson tx2-nx development board, power adapter, 2.4G/5G blue-tooth and wi-fi dual-band wireless network card, 128G solid state drive and corresponding cooling package

[Unique MAC Address] A unique MAC address ensures that a device with it will not have conflict with other devices' IPs in any network. This MAC address can be used as a device's fingerprint.

[Light & Full-speed Gigabit]---It features high speed data transmission and perfectly suits loT applications that require both high quality data transmission and small form factor

[GPIO Programming Libraries, Ready to Go]---2.54mm pitch 26 pin-header onboard, include I2C, UART, SPI, I2S, GPIO.Connect, Git clone, and Make it.

【GPIO 1 to 2】: This expansion board can expand one GPIO pin of the development board into two, which is convenient for users to reuse pins in large smart home projects.

【2 connection Methods】: two connection methods: pin connector and screw terminal.

【Good quality】 The product structure is solid, the holes of the breakthrough plate are gold-plated, and the circuit is stable and reliable, without poor circuit contact and unstable signal transmission.

No Wireless Module and 3.5mm Audio Port

High performance Quad-core ARM SoC up to 1. 8GHz with 2GB RAM- The Tinker Board S features the Rockchip RK3288 SoC and Mali-T764 GPU along with 2GB of Dual Channel DDR3 memory and 16GB of fast & durable eMMC onboard storage

DIY Design – Tinker Board S features multiple DIY use features including a color coded enhanced GPIO header with dual mode I2S, silkscreened PCB, onboard power on pin

MCU: For programmable power on/off, hardware encryption EEPROM, boot media(SPI Flash or EMMC) setup, KBI etc.

RSDB: Real Simultaneous Dual Band, Edge and other devices transmit and receive data over two bands at the same time.

Edge can support dual independent display over USB-C, HDMI, eDP or MIPI.

Compatible with multiple development boards: Compatible with Raspberry Pi Jetson series development boards, Sunflower Pi, industrial control board development boards, and also has multiple power supply interface outputs, providing stable power supply for DIY expansion boards.

Rich peripheral interfaces: The expansion board supports 4-way encoder motors, which can drive various vehicle types, such as mecanum wheels, four-wheel differentials, tracks, etc.; it also supports PWM servos and serial bus servos, which can adapt to various forms of robot arm development; it also supports USB serial communication, CAN bus communication, and SBUS bus communication.

Multi-functional robot expansion board: The control board is equipped with a 9-axis IMU attitude sensor, which can obtain real-time posture information of the robot and is widely used in ROS robot kit development.

The NVIDIA Jetson Nano Developer Kit delivers high-end computing performance to run modern artificial intelligence workloads at a previously minimal form factor, power, and cost. Developers, learners, and makers are now running AI frameworks and models for applications such as image classification, object detection, segmentation, and speech processing.

The developer kit can be powered by micro USB and has extensive I/O from GPIO to CSI. This allows programmers to easily connect a variety of new sensors to enable a variety of AI applications. Very energy efficient with power consumption as low as 5 watts.

Jetson Nano is also supported by NVIDIA JetPack, which includes Board Support Package (BSP), Linux OS, N-VI-DIA CUDA, cuDNN and TensorRT for deep learning, computer vision, GPU computing, multimedia Software library handling and more. The software even works with an easy-to-flash SD card image, making getting started quick and easy.