Tinker Edge R

Single-board computer for AI applications, with Arm® big.LITTLE™ technology and Rockchip NPU, easy for Machine-Learning deployment.

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Features

  • Arm® big.LITTLE™ A72+A53 Hexa-core SoC
  • Machine-Learning capability with Rockchip NPU
  • Onboard 16GB eMMC storage
  • Onboard SIM slot
  • Multiple MIPI-CSI & DSI / HDMI / Type-C (DP)
  • 40-pin GPIOs & mPCIe for multiple expansions
  • 12V~19V DC-in offers stable power delivery
  • Linux & Android* supported

Specification

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SoC Rockchip RK3399Pro
CPU Dual-core ARM® Cortex®-A72 @ 1.8 GHz
Quad-core ARM® Cortex®-A53 @ 1.4 GHz
GPU ARM® Mali™-T860 MP4 GPU @ 800 MHz
NN processor Rockchip NPU
Display 1 x HDMI™ with CEC hardware ready
1 x USB Type-C® (DP)
1 x 22-pin MIPI DSI (4 lane)
Memory Size Dual-CH LPDDR4 4GB (SYSTEM)
LPDDR3 2GB (NPU)
Storage 16GB eMMC
Micro SD(TF) card slot (push/pull)
Connectivity 1 x RTL8211F-CG GbE LAN
1 x M.2 802.11 a/b/g/n/ac wireless & Bluetooth 5.0 (2T2R)
Audio 1 x 3.5mm audio jack (with Mic & plug-in detection)
1 x S/PDIF TX pin
1 x PCM/I2S pins
USB 3 x USB 3.2 Gen1 Type-A
1 x USB 3.2 Gen1 Type-C OTG
Camera Interface 1 x 22-pin MIPI CSI-2 (4 lane)
1 x 22-pin MIPI CSI-2/DSI (4 lane) *
Expansions 1 x Mini PCIe slot (Full-Length, nano-SIM socket, for 4G/LTE)
Internal Headers 1 x 40-pin headers includes:
- up to 28 x GPIO pins
- up to 2 x SPI bus
- up to 2 x I2C bus
- up to 2 x UART
- up to 3 x PWM
- up to 1 x PCM/I2S
- up to 1 x S/PDIF TX
- 2 x 5V power pins
- 2 x 3.3V power pins
- 8 x ground pins
1 x 2-pin Recovery header
1 x 2-pin Power-on header
1 x 2-pin Reset header
1 x 2-pin DC Fan header
1 x 2-pin RTC Battery header
1 x 2-pin NPU UART header
Power Connector
(up to 65W)
1 x 12~19V DC Power Input Jack (5.5/2.5mm)
1 x 12~19V 4-pin DC Power Input Header
OS Support Debian 9 / Android 9
Dimension Pico-ITX, 3.9 inch x 2.8 inch (100 × 72 mm)
Note * 3 MIPI interface, 1st CSI, 2nd DSI, and 3rd is CSI/DSI.
Ultimate performance for edge device

Anewtech-ASUS-Tinker-Edge-R-Ai-acceleratorAI accelerator (NPU)

ASUS Tinker Edge R is an Single Board Computer (SBC) specially designed for AI applications. It uses Rockchip NPU, a Machine Learning  accelerator that speeds up processing efficiency, lowers power demands and makes it easier to build connected devices and intelligent applications. With this integrated Machine Learning   accelerator, the Tinker Edge R is capable of performing 3 tera-operations per second (TOPS), using low power consumption. And it’s optimized for Neural Network architecture, which means Tinker Edge R can support multiple Machine Learning   frameworks and let lots common Machine Learning  models can be easily compiled and run on the Tinker Edge R.
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A single inference time with several popular models

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Advanced Power Design

Most SBC motherboards only offer a 15 watt (5V 3A) power design, which can cause device and system instability when there are multiple connected devices. Other SBCs have power designs that lower the performance of their I/O ports. Tinker Edge R has a special power design that, together with DC and pin header dual power supply, delivers up to 65 watts of power, enabling stable system operation and full I/O performance, even with multiple connected devices. Additionally, an exclusive power-protection design activates automatically if the supplied current and voltage change significantly, effectively protecting the board and all connected devices.  

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Rockchip RK3399PRO Processor

Anewtech-ASUS-Tinker-Edge-R-Rockchip-RK3399PRO-ProcessorWith its powerful and modern hex-core Arm® Cortex®-based Rockchip RK3399Pro A72 + A53 processor powered by Arm® big.LITTLE™ technology, Tinker Edge R offers a powerful solution for graphics, machine vision, video, audio, voice and safety-critical applications. Tinker Edge R features 4 GB of dual-channel LPDDR4 memory for system, the 4th generation of low-power DDR DRAM technology, offering faster speeds and even lower power consumption for improved system performance and efficiency. It also boats 2 GB of standalone memory for the NPU, offering faster speeds, improved stability and high efficiency for ML inference.

ASUS Tinker Edge R also comes equipped with an onboard 16 GB eMMC and SD 3.0 interface that offers significantly faster read and write speeds for the operating system, applications and file storage.

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More connectivity options for Developers

Anewtech-ASUS-Tinker-Edge-R-AiTinker Edge R features a rich I/O interface, including one MIPI-DSI connection for displays and touch screens, and two MIPI-CSI connections for compatible cameras to enable computer vision for applications such as depth measurement, smart vending machine and interactive advertising.

Tinker Edge R also benefits from a developer-friendly design that offers many carefully considered features to provide a superior experience for first-time builders and seasoned hobbyists alike. As well, Tinker Edge R boats a full-size HDMI port, USB Type-A, USB Type-C, gigabit LAN and Wi-Fi and Bluetooth for internet and network connectivity – and also a mini PCI Express® Mini slot for 4G/LTE extension card.

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Enhanced User Experience

Anewtech-ASUS-Tinker-Edge-R-software-sdkMachine Learning Developer Tools

ASUS provides a robust API and SDK that enables users to deploy ML models to Tinker Edge R easily for applications such as image classification and object detection. It also supports model conversion from Caffe, TensorFlow, TensorFlow Lite, ONNX, Darknet and more.

OS Flash Tool

Tinker Edge R comes with a Intuitive OS flash tool that enables easy OS image flashing to onboard eMMC drive, enabling you to get your system up and running quickly.