All stock codes associated to this product
TINKEREDGER, TINKER EDGE R, 5059921, 4718017593212
Asus Tinker Edge R
Overview
Single-board computer for AI applications, with Arm big.LITTLE technology and
Rockchip NPU, easy for Machine-Learning deployment.
- Arm big.LITTLE A72+A53 Hexa-core SoC
- Machine-Learning capability with Rockchip NPU
- 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
AI accelerator (NPU)
ASUS Tinker Edge R is an Single Board Computer (SBC) specially designed for
AI applications. It uses Rockchip NPU, a Machine Learning (ML) 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 (ML) accelerator, the Tinker Edge R is capable of performing 3
tera-operations per second (TOPS), using low power consumption. And its
optimized for Neural Network (NN) architecture, which means Tinker Edge R can
support multiple Machine Learning (ML) frameworks and let lots common Machine
Learning (ML) models can be easily compiled and run on the Tinker Edge
R.
- Rockchip NPU ML accelerator
- 3 TOPS Performance
- Multiple frameworks Support
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.
ROCKCHIP RK3399PRO PROCESSOR
With 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.
MORE CONNECTIVITY OPTIONS FOR DEVELOPERS
ASUS Tinker 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.
ENHANCED USER EXPERIENCE
Machine 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.
Specifications
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 |
1
x 12~19V DC Power Input Jack (5.5/2.5mm) |
(up
to 65W) |
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) |
Environment |
Operation
temperature: 0 ~ 60 |
Non
operation temperature: -40 ~ 80 |
Non
operation humidity: 0% ~ 85% (Non condensing) |
Note |
*
3 MIPI interface, 1st CSI, 2nd DSI, and 3rd is
CSI/DSI. |