Difference between revisions of "SOQuartz"

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* Supports integer 8 and integer 16 convolution operations
 
* Supports integer 8 and integer 16 convolution operations
 
* Supports the following deep learning frameworks: TensorFlow, TF-lite, Pytorch, Caffe, ONNX, MXNet, Keras, Darknet
 
* Supports the following deep learning frameworks: TensorFlow, TF-lite, Pytorch, Caffe, ONNX, MXNet, Keras, Darknet
 
  
 
=== System Memory ===
 
=== System Memory ===
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* 10/100/1000Mbps Ethernet
 
* 10/100/1000Mbps Ethernet
 
* WiFi 802.11 b/g/n/ac with Bluetooth 5.0  
 
* WiFi 802.11 b/g/n/ac with Bluetooth 5.0  
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==  Connector Pins Definition ==
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** [https://files.pine64.org/doc/quartz64/SOQuartz%20Connector%20Pin%20Assignments%20ver%201.0.ods SOQuartz Module Connector Pins Definition ver 1.0]
  
  
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* SOQuartz Module Schematic:
 
* SOQuartz Module Schematic:
 
** [https://files.pine64.org/doc/quartz64/SOQuartz_SOM_schematic_v1.1_20210816.pdf SOQuartz Module ver 1.1 20210816 Schematic]
 
** [https://files.pine64.org/doc/quartz64/SOQuartz_SOM_schematic_v1.1_20210816.pdf SOQuartz Module ver 1.1 20210816 Schematic]
** [https://files.pine64.org/doc/quartz64/SoQuartz-PCB-placement-v1.1-topplace.pdf SOQuartz Module ver 1.1 20210816 PCB Component Placement Top PDF file]
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** [https://files.pine64.org/doc/quartz64/SoQuartz-PCB-placement-v1.1.pdf SOQuartz Module ver 1.1 20210816 PCB Component Placement]
** [https://files.pine64.org/doc/quartz64/SoQuartz-PCB-placement-v1.1-bottomplace.pdf SOQuartz Module ver 1.1 20210816 PCB Component Placement Bottom PDF file]
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* SOQuartz Model "A" Baseboard Schematic and PCB Board Resource:
 
* SOQuartz Model "A" Baseboard Schematic and PCB Board Resource:
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[[File:SOQuartz_model-A_baseboard.jpg |400px|thumb|SOQuartz Model-A Baseboard]]
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* SOQuartz Blade Baseboard Schematic and PCB Board Resource:
 
* SOQuartz Blade Baseboard Schematic and PCB Board Resource:
  
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* WiFi/BT module info:
 
* WiFi/BT module info:
 
** [https://files.pine64.org/doc/datasheet/rockpro64/AW-CM256SM_DS_DF_V1.9_STD.pdf Azurewave CM256SM 11AC WiFi + Bluetooth5.0 Datasheet]]
 
** [https://files.pine64.org/doc/datasheet/rockpro64/AW-CM256SM_DS_DF_V1.9_STD.pdf Azurewave CM256SM 11AC WiFi + Bluetooth5.0 Datasheet]]
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== SOQuartz Module with various CM4 carrier boards ==
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** For CM4 carrier board comprehensive list, please visit [https://pipci.jeffgeerling.com/boards_cm Jeff Geerling collection]
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[[File:SOQuartz_with_DF_Robot_carrier_board.jpg|400px|thumb|SOQuartz with DF Robot CM4 Carrier Board]]
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[[File:SOQuartz_with_Waveshare_carrier_board.jpg|400px|thumb|SOQuartz with Waveshare CM4 Carrier Board]]
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[[File:SOQuartz_with_Waveshare_PoE_carrier_board.jpg|400px|thumb|SOQuartz with Waveshare CM4 PoE Board]]
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Latest revision as of 17:10, 4 November 2021

The SOQuartz

The SOQuartz is a RK3566 based compute module and parts of Quartz64 series.

Software releases

The SOQuartz software releases can be found in the article SOQuartz Software Releases.

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

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

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, 4GB, 8GB LPDDR4.
  • Storage Memory: optional 128Mb SPI Flash and optional eMMC module from 16GB up to 128GB

Network

  • 10/100/1000Mbps Ethernet
  • WiFi 802.11 b/g/n/ac with Bluetooth 5.0


Connector Pins Definition


SOQuartz Model-A Baseboard Features

  • Model "A" Baseboard Dimensions: 133mm x 80mm x 19mm
  • Input Power: DC 12V @ 3A 5.5OD/2.1ID Barrel DC Jack connector

Storage

  • microSD - bootable, support SDHC and SDXC, storage up to 2TB
  • USB - 2 USB2.0 Host port

Expansion Ports

  • MiPi-CSI - 1x 2 lanes, 1x 4 lanes
  • MiPi-DSI - 1x 2 lanes, 1x 4 lanes
  • 2x20 pins "Pi2" GPIO Header
  • PCIe 1x open ended slot

SOQuartz Module and Baseboard Information, Schematics, and Certifications

  • SOQuartz Model "A" Baseboard Schematic and PCB Board Resource:
SOQuartz Model-A Baseboard
  • SOQuartz Blade Baseboard Schematic and PCB Board Resource:

Datasheets for Components and Peripherals


SOQuartz Module with various CM4 carrier boards

SOQuartz with DF Robot CM4 Carrier Board
SOQuartz with Waveshare CM4 Carrier Board
SOQuartz with Waveshare CM4 PoE Board


BSP Linux SDK

BSP Linux SDK ver 4.19 for Quartz64 model A SBC


Android SDK

Android 11 SDK for Quartz64 model A SBC


Other Resources