Difference between revisions of "PineNote"

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The PineNote is the first hybrid NotePad computer device combination of Notebook, Tablet and e-reader using an e-ink panel. It is derived from the Quartz64 model A SBC and powered by a Rockchip RK3566 Quad-Core ARM Cortex A55 64-Bit Processor with a MALI G-52 GPU.
The PineNote is the first hybrid notepad computer device combination of notebook, tablet and e-reader using an e-ink panel. It is derived from the Quartz64 model A SBC and powered by a Rockchip RK3566 quad-core ARM Cortex A55 64-bit processor with a MALI G-52 GPU.


[[File:PineNote-1.jpg]]<br>
[[File:PineNote-1.jpg]]<br>
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=== Core  ===
=== Core  ===
* CPU: RK3566 1.8GHz 64-bit Quad-core A55
* CPU: RK3566 1.8GHz 64-bit quad-core A55
* GPU: MALI G52 2EE
* GPU: MALI G52 2EE
* System Memory: 4GB LPDDR4
* System memory: 4GB LPDDR4
* Flash: 128GB eMMC
* Flash: 128GB eMMC


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* Grayscale: 16
* Grayscale: 16
* Front Light: 36 level cold and warm  
* Front Light: 36 level cold and warm  
* Capacitive Multi Touch Panel
* Capacitive multi-touch panel
* EMR Pen Digitizer
* EMR pen digitizer


=== Network ===
=== Network ===
Line 36: Line 36:


=== Sensor ===
=== Sensor ===
* G-Sensor for Portrait and Landscape sensing
* G-Sensor for portrait and landscape sensing


=== Power ===
=== Power ===
* 4000mAH LiPo Battery
* 4000mAH LiPo battery
* DC 5V @ 3A USB-C connector
* DC 5V @ 3A USB-C connector


=== Accessories ===
=== Accessories ===
* Optional EMR Pen with magnetic attachment (Free to first production batch)
* Optional EMR pen with magnetic attachment (included in the first production batch)
* Optional Cover (Free to first production batch)
* Optional Cover (included in the first production batch)





Revision as of 20:32, 15 August 2021

The PineNote is the first hybrid notepad computer device combination of notebook, tablet and e-reader using an e-ink panel. It is derived from the Quartz64 model A SBC and powered by a Rockchip RK3566 quad-core ARM Cortex A55 64-bit processor with a MALI G-52 GPU.

PineNote-1.jpg

Specification

PineNote Pen function.jpg
PineNote Cover-1.jpg

General Information

  • Dimensions: 191.1x232.5x7.4mm
  • Weight: 438g

Core

  • CPU: RK3566 1.8GHz 64-bit quad-core A55
  • GPU: MALI G52 2EE
  • System memory: 4GB LPDDR4
  • Flash: 128GB eMMC

E-ink Display

  • Size: 10.3"
  • Resolution: 1404x1872
  • DPI: 227
  • Grayscale: 16
  • Front Light: 36 level cold and warm
  • Capacitive multi-touch panel
  • EMR pen digitizer

Network

  • WiFi: 2.4/5GHz 802.11a/b/g/n/ac
  • Bluetooth: 5.0

Audio

  • Build in stereo speaker
  • 4x DMIC microphone

Sensor

  • G-Sensor for portrait and landscape sensing

Power

  • 4000mAH LiPo battery
  • DC 5V @ 3A USB-C connector

Accessories

  • Optional EMR pen with magnetic attachment (included in the first production batch)
  • Optional Cover (included in the first production batch)


Software and OS Image Downloads

  • Not yet available


SoC and Memory Specifications

RK3566 icon.png

CPU Architecture

  • Quad-core ARM Cortex-A55@1.8GHz
  • AArch32 for full backwards compatibility with ARMv7
  • ARM Neon Advanced SIMD (single instruction, multiple data) support for accelerated media and signal processing computation
  • Includes VFP hardware to support single and double-precision operations
  • ARMv8 Cryptography Extensions
  • Integrated 32KB L1 instruction cache and 32KB L1 data cache per core
  • 512KB unified system L3 cache
  • TrustZone technology support
  • 22nm process, believed to be FD-SOI

GPU (Graphics Processing Unit) Capabilities

  • Mali-G52 2EE Bifrost GPU@800MHz
  • 4x Multi-Sampling Anti-Aliasing (MSAA) with minimal performance drop
  • 128KB L2 Cache configurations
  • Supports OpenGL ES 1.1, 2.0, and 3.2
  • Supports Vulkan 1.0 and 1.1
  • Supports OpenCL 2.0 Full Profile
  • Supports 1600 Mpix/s fill rate when at 800MHz clock frequency
  • Supports 38.4 GLOP/s when at 800MHz clock frequency

NPU (Neural Processing Unit) Capabilities

  • Neural network acceleration engine with processing performance of up to 0.8 TOPS
  • Supports integer 8 and integer 16 convolution operations
  • Supports the following deep learning frameworks: TensorFlow, TF-lite, Pytorch, Caffe, ONNX, MXNet, Keras, Darknet

System Memory

  • RAM Memory : 4GB LPDDR4.
  • Flash Memory: 128GB eMMC

PineNote Information, Schematics, and Certifications

  • Certifications:
    • Not yet available

Datasheets for Components and Peripherals


Development Efforts

BSP Linux SDK

BSP Linux SDK ver 4.19 for PineNote and Quart64 model A SBC

Android SDK

Android 11 eink SDK for PineNote Quart64 model A SBC