BagleBone AI-64 - ARM Cortex-A72 4GB RAM + 16GB eMMC

Index: FAR-21706
The BeagleBone AI-64 minicomputer is built for Artificial Intelligence (AI) and Machine Learning with the expandability of the BeagleBone platform and onboard peripherals to start learning and building applications right away. The module is based on the Texas Instruments Jacinto TDA4VM Dual ARM Cortex-A72 64-bit system clocked at 2 GHz. The AI-64 has also been equipped with C7x + MMA 8 TOPS and 2 C66x co-processors and 3x Dual ARM Cortex-R5. The device has 4 GB of RAM and 16 GB of built-in eMMC memory .
BagleBone AI-64 - ARM Cortex-A72 4GB RAM + 16GB eMMC
€270.90
€220.24 tax excl.
Waiting time: 2-4 weeks
Only on request
PayPal payment
Manufacturer: BeagleBone

Product description: BagleBone AI-64 - ARM Cortex-A72 4 GB RAM + 16 GB eMMC

The BeagleBone AI-64 minicomputer is built for Artificial Intelligence (AI) and Machine Learning with the expandability of the BeagleBone platform and onboard peripherals to start learning and building applications right away. The module is based on the Texas Instruments Jacinto TDA4VM Dual ARM Cortex-A72 64-bit system clocked at 2 GHz. The AI-64 has also been equipped with C7x + MMA 8 TOPS and 2 C66x co-processors and 3x Dual ARM Cortex-R5. The device has 4 GB of RAM and 16 GB of built-in eMMC memory . The PowerVR Rouge 8XE GE8430 3D graphics chip allows for 2x 1080p30 H.264 image encoding and 8x 1080p30 H.264 / H.265 decoding. The board has USB type C, two USB type A connectors, Gigabit Ethernet, M.2 E-key connector for WiFi / Bluetooth extension, miniDisplayPort, 2x 4-line CSI, DSI. On the bottom of the module there is a large heat sink that efficiently dissipates heat from the electronic components. Linux Debian was installed on the CD.

BeagleBone AI-64 BagleBone AI-64 - ARM Cortex-A72 4GB RAM + 16GB eMMC.
BeagleBone AI-64 BeagleBone AI-64 minicomputer.

Main features of the BeagleBone AI-64 minicomputer

  • GPIO connector compatible with BeagleBone Black
  • 4 GB of RAM and 16 GB of built-in eMMC Flash memory
  • USB Type-C for board powering and programming
  • Two USB Type A ports as host
  • Gigabit Ethernet connector
  • M.2 Key E connector for connecting WiFi / Bluetooth extensions
  • miniDisplayPort, 2x 4-lines CSI, DSI
  • Preloaded open-source Linux Debian operating system

The distribution of elements on the BeagleBone AI-64 board

  1. Expansion connectors compatible with the BeagleBone add-on series
  2. M.2 Key E connector with PCIe, USB and SDIO for WiFi / Bluetooth extensions
  3. 5 user LEDs and 1 power LED
  4. Wake-up domain serial port
  5. Root domain serial port
  6. USB Type-C (5 Gb / s) with 5V / 3A power input
  7. Boot button
  8. Power button
  9. Reset button
  10. 16-pin microcontroller connector
  11. Gigabit Ethernet connector
  12. Two USB 3.0 Type A (5 Gb / s) connectors
  13. miniDisplayPort
  14. 5V power input

Plate bottom:

  • Texas Instruments TDa4VM chip with Dual ARM Cortex-A72, C7x DSP and deep learning, vision and multimedia accelerators
  • 4 GB RAM DDR4
  • 16 GB eMMC Flash Memory
  • MicroSD card slot
  • Dual CSI-2 camera connector
The distribution of elements on the board The distribution of elements on the board.
BeagleBone specification and comparison
BeagleBone AI-64 BeagleBone AI BeagleBone Black
Main processor layout Texas Instruments Jacinto TDA4VM
2x ARM Cortex-A7 2
Texas Instruments Sitara AM5729
2x ARM Cortex-A15
Texas Instruments Sitara AM3358
ARM Cortex-A8
The maximum clock speed of the processor 2 GHz 1.5 GHz 1 GHz
Co-processor C7x + MMA, 2xC66x, 12xPRU, 6xARM Cortex-R5, PowerVR Rogue 8XE GE8430, H.264 encode, H.264 / H.265 decode 2xC66x, 4xPRU, 4xARM Cortex-M4, 4xEVE, 2xPowerVR SGX544, IVA-HD 2xPRU, ARM Cortex-M3, PowerVR SGX530
Analog pins 7 (3.3V) 7 (4-wire touchscreen) (3.3V) 7 (4-wire touchscreen) (1.8V)
Digital pins 72 (including 7 analog pins which can be digital) 72 (including 7 analog pins which can be digital) 65
Memory 4 GB LPDDR4
16 GB eMMC Flash Memory
microSD card slot
1 GB DDR3L
16 GB eMMC Flash Memory
microSD card slot
512MB DDR3
4 GB eMMC Flash Memory
microSD card slot
USB USB 3.0 Type-C 5 GB / s
client / host port
2x USB 3.0 Type A host ports
USB 3.0 Type-C 5 GB / s
client / host port
USB 3.0 Type A host ports
USB 2.0 type miniUSB 480 Mb / s port Host / client (Black)
USB 2.0 microUSB 480 Mb / s port Host / client (Wireless)
USB 2.0 Type A host port
Network Gigabit Ethernet
M.2 key E PCIe / USB / SDIO slot
Gigabit Etherent
2.4 / 5 GHz WiFi
Bluetooth 4.2 / BLE
Ethernet 10/100 MB / s (Black)
2.4 GHz WiFi (Wireless)
Bluetooth 4.2 / BLE (Wireless)
Video miniDisplayPort
MIPI DSI (w / I2C)
microHDMI microHDMI
Audio miniDisplayPort
cape / USB add-on
microBus Shuttle connector
microHDMI
cape / USB add-on
Bluetooth
microHDMI
cape / USB add-on
Bluetooth (Wireless)
Camera 2x MIPI CSI (4-line) ON ON
Supported Extension Interfaces

4x UART
16-bit LCD interface
2x I2C
2x SPI
8x PWM
4x Timer
A / D (3.3V)
CAN
Pulse Capture
Quadrature Encoder
PRU GPIO
PRU UART
PRU Pulse Capture
...

4x UART

16-bit LCD interface
2x I2C
2x SPI
8x PWM
4x Timer
A / D (3.3V)
CAN
Pulse Capture
Quadrature Encoder
PRU GPIO
PRU UART
PRU Pulse Capture
...

4x UART
16-bit LCD interface
2x I2C
2x SPI
8x PWM
4x Timer
A / D (1.8V)
CAN
Pulse Capture
Quadrature Encoder
PRU GPIO
PRU UART
PRU Pulse Capture
...

Built-in sensors CPU temperature sensor CPU temperature sensor ON

UC - Microcontroller TDA4VM
UC - Core Cortex A72
UC - Flash 16 GB eMMC
UC - RAM 4 GB
UC - core 2. Dual Core
UC - Digital pins 72
UC - analog in 7
UC - freq 2.0 GHz
UC - Ethernet yes
UC - USB 2x USB
UC - microSD yes
UC - I2C yes
UC - UART yes
UC - Connector USB typ C
UC - SPI interface yes
UC - LCD interface yes
UC - Camera interface yes
Package width 14 cm
Package height 10 cm
Package depth 4.5 cm
Package weight 0.25 kg

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Product reviews

BagleBone AI-64 - ARM Cortex-A72 4GB RAM + 16GB eMMC

5/5

Average grade

2

Customers opinion
The following opinions are collected
and verified by
an external partner Trustmate
and come from the post-purchase process.
Patryk 26.11.2022 Confirmed purchase Translated review
A very well made product. Great expandability. I highly recommend the board due to the capabilities of the processor itself. and dsp processors. Perfect for AI and video editing. The only strongest competitor to NVIDIA Jetson, and even due to the possibility of using DSP co-processors, surpasses Jetson.
Paweł 03.05.2023 Confirmed purchase

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