Droid Stick A2 – AMLogic AML8726-MX Dual Core Android 4.1.1 mini PC

Since it was first announced in August, Rockchip RK3066 dual core mini PCs have been popping up everywhere, and AFAIK those are currently the only low cost (sub $100) dual core Android TV Sticks available. But according to a recent Kimdecent announcement, this is about to change with the release of the Droid Stick A2 based on AMLogic AML8726-MX Dual Core Cortex A9 processor with 1GB RAM and 4 to 8 GB Flash running Android Jelly Bean.

Kimdecent Droid Stick A2

Here are Droid Stick A2 specifications:

  • CPU – Amlogic AML8726-MX Dual Core Cortex A9 @ 1.5 GHz
  • GPU – Mali400 Dual Core, 2D/ 3D/ OpenGL ES2.0/ OpenVG1.1.
  • System Memory – 1 GB RAM
  • Storage – 4/8 GB Nand Flash + microSD card slot (up to 32GB)
  • WiFi – 802.11b/g/n
  • Video Output – HDMI (1080P)
  • Video Decoding – Supports up to  1920x1080p@60fps
  • Video Encoding – Supports encoding in H.264. 1080p@60fps, 720@100fps
  • USB – 1xUSB 2.0, 1x Mini USB
  • Misc. ports – 1xMic, 1x Infra receiver port

For Linux lovers this device should potentially be a much better option than Rockchip RK3066 since AMLogic did release the kernel source for their dual core processor, and native (Linux and Android) XBMC support should be possible, unless there is much difference between AML8726-M3 and AML8726-MX on the video decoding front.

The device is not yet listed on Kimdecent aliexpress shop, as the device is in the final stages of development and should be available within 2 to 3 weeks. No pricing information is available at this time.

Share this:

Support CNX Software! Donate via cryptocurrencies, become a Patron on Patreon, or purchase goods on Amazon or Aliexpress

Radxa Orion O6 Armv9 mini-ITX motherboard
Subscribe
Notify of
guest
The comment form collects your name, email and content to allow us keep track of the comments placed on the website. Please read and accept our website Terms and Privacy Policy to post a comment.
53 Comments
oldest
newest
Boardcon CM3588 Rockchip RK3588 System-on-Module designed for AI and IoT applications