Difference between revisions of "SOQuartz"
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** [https://files.pine64.org/doc/quartz64/SOQuartz-Model-A-Baseboard-PCB-20210901.pdf SOQuartz BLADE 20220522 Schematic] | ** [https://files.pine64.org/doc/quartz64/SOQuartz-Model-A-Baseboard-PCB-20210901.pdf SOQuartz BLADE 20220522 Schematic] | ||
** [https://files.pine64.org/doc/quartz64/SOQuartz-BLADE-PCB-Placement-20220522.pdf SOQuartz BLADE 20220522 PCB component Placement] | ** [https://files.pine64.org/doc/quartz64/SOQuartz-BLADE-PCB-Placement-20220522.pdf SOQuartz BLADE 20220522 PCB component Placement] | ||
** [https://files.pine64.org/doc/quartz64/BLADE%201U%20Rack_3D.stp SOQuartz BLADE 1U Rack STP file] | |||
[[File:BLADE_1U_rack_3D.jpg |400px]] | |||
== Datasheets for Components and Peripherals == | == Datasheets for Components and Peripherals == |
Revision as of 03:14, 17 September 2022
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
- Based on Rockchip RK3566
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
SOQuartz exposed peripherals
Displays / Cameras
- 1x HDMI
- 2x DSI
- 1x eDP (Instead of HDMI1)
- 1x LVDS (not available when dual-mode DSI)
- 1x CSI 4-line
Connectivity
- 1x Ethernet (1Gbit)
- 1x USB 2.0 OTG
- 1x SD Card (SD)
- 1x PCIe 1-Line
- 28x GPIO (TBD)
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 Module Schematic:
- SOQuartz Model "A" Baseboard Schematic and PCB Board Resource:
- SOQuartz Blade Baseboard Schematic and PCB Board Resource:
Datasheets for Components and Peripherals
- Rockchip RK3566 SoC information:
- Rockchip PMU (Power Management Unit) Information:
- DDR4 information:
- eMMC information:
- SPI NOR Flash information:
- Ethernet PHY information:
- WiFi/BT module info:
SOQuartz Module with various CM4 carrier boards
- For CM4 carrier board comprehensive list, please visit Jeff Geerling collection
BSP Linux SDK
BSP Linux SDK ver 4.19 for Quartz64 model A SBC
- Direct Download from pine64.org
- MD5 (TAR-GZip file): 24554419aec29700add97167a3a4c9ed
- File Size: 32.67.00GB
Android SDK
Android 11 SDK for Quartz64 model A SBC
- Direct Download from pine64.org
- MD5 (TAR-GZip file): 77c2ff57ea3372fb04da7fb49e17d12b
- File Size: 79.00GB
- Just the boot blobs (<1MB): File:Rk35-blobs.tar.gz