Quartz64

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The Quartz64 is the most recent Single Board Computer offering from Pine64, scheduled for release in 2021. It is powered by a Rockchip RK3566 Quad-Core ARM Cortex A55 64-Bit Processor with a MALI G-52 GPU.

Key features include a PCIe x4 open ended slot (model A) or m.2 (model B) using one Gen2 lane electrically, and the use of LPDDR4 RAM.

The Quartz64 is equipped with 2GB, 4GB or 8GB LPDDR4 system memory, and 128Mb SPI boot Flash. There is also an optional eMMC module (up to 128GB) and microSD slot for booting. The board is equipped with 1x USB 3.0 type A Host, 3x USB 2.0 Host, Gigabit Ethernet, SATA (model A), GPIO Bus, MiPi DSI interface, eink interface (model A), eDP interface (model A), touch Panel interface (model A), MiPi CSI interface, as well as many other device interfaces such as UART, SPI, I2C, for makers to integrate with sensors and other peripherals. Many different Operating Systems (OS) are freely available from the open source community, such as Linux (Ubuntu, Debian, Arch), BSD, and Android.

Software and OS Image Downloads

  • TBD

SoC and Memory Specification

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

Graphic Process Unit GPU Capability

  • 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

Neural Process Unit NPU Capability

  • 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 Variants: 2GB - 8GB LPDDR4.
  • SPI Flash: 128Mbit / 16MByte

Network

  • 10/100/1000Mbps Ethernet
  • WiFi 802.11 b/g/n/ac with Bluetooth 5.0 (optional on model A, build in on model B)

Storage

  • microSD - bootable, supports SDHC and SDXC, storage up to 2TB
  • USB - 2 ports on model B, 3 ports on model A USB 2.0 Host port, 1 USB 3.0 Host port
  • one native SATA 3.0 6Gb/s Port (only on model A, shared with USB 3.0 host port)
  • optional eMMC module from 16GB up to 128GB

Expansion Ports

  • eDP - 4 lanes of 2.7Gbps, up to 2560x1600@60Hz (only on model A)
  • DSI - Display Serial Interface, 4 lanes MiPi, up to 1440P on model A, 2 lanes MiPi, up to 1080p on model B
  • CSI - CMOS Camera Interface, 4 lanes MiPi up to 8 mega pixel on model A, 2 lanes MiPi up to 5 mega pixel on model B
  • TP - Touch Panel Port, SPI with interrupt on model A
  • RTC - Real Time Clock Battery Connector
  • VBAT - Lithium Battery Connector with temperature sensor input on model A
  • Wifi/BT Module Header - SDIO 3.0 and UART on model A, build in Wifi/BT Module on model B
  • 2x20 pins "Pi2" GPIO Header on model B, 2x10 pins GPO header on model A
  • PCIe x4 open ended slot on model A, m.2 slot on model B, one Gen2 lane due to SoC constraints

Quartz64 board Information, Schematics, and Certifications

  • Model "A" Baseboard Dimensions: 133mm x 80mm x 19mm
  • Input Power: DC 12V @ 3A 5.5mmOD/2.1mmID center-positive Barrel DC Jack connector
  • Model "B" Baseboard Dimensions: 85mm x 56mm x 18.8mm
  • Input Power: DC 5V @ 3A 3.5mmOD/1.35mmID Barrel DC Jack connector
  • Certification:
    • Not yet available

Datasheets for Components and Peripherals

Development efforts

Information and ressources of the ongoing development effort for the Quartz64 can be found on the Quartz64 Development page.

Android SDK

Android 11 SDK

Other Resources