Product details
The Cheap Arm SBC Board FZ3 stands out as a robust deep learning accelerator, leveraging the advanced Xilinx Zynq UltraScale+ ZU3EG MPSoC. This platform boasts a 1.2 GHz quad-core ARM Cortex-A53 64-bit application processor alongside a 600 MHz dual-core ARM Cortex-R5 real-time processor, complemented by an integrated Mali 400 GPU. The device is further enhanced with versatile FPGA fabric, making it highly adaptable for various applications. It comes equipped with 4GB DDR4 RAM, 8GB eMMC storage, 32MB QSPI Flash, and 32KB EEPROM, providing ample memory and storage options.
The Cheap Arm SBC Board FZ3 also supports a wide array of interfaces such as USB 2.0 and 3.0, Gigabit Ethernet, a TF card slot, DisplayPort, PCIe, MIPI-CSI, BT1120 camera interface, USB-UART, JTAG, and I/O expansion ports. These extensive connectivity options facilitate seamless integration into complex systems, enabling developers to swiftly incorporate sophisticated hardware solutions.
Cheap Arm SBC Board FZ3 Top-view
Cheap Arm SBC Board FZ3 Bottom-view
The Cheap Arm SBC Board FZ3 is capable of running PetaLinux 2020.1 and comes with a comprehensive BSP. It is compatible with the Xilinx Vitis Software Development Platform, enhancing its versatility. Moreover, the FZ3 supports the PaddlePaddle deep learning framework, which seamlessly integrates with Baidu Brain’s suite of AI development tools, including EasyDL, AI Studio, and EasyEdge. This integration empowers developers and engineers to rapidly harness Baidu’s proven AI technologies or deploy custom models, accelerating time-to-market. Common applications for the FZ3 include AI cameras, AI computing devices, robotics, smart vehicles, intelligent scales, patrol drones, and other advanced embedded systems.
Baidu Brain’s AI development tools
Software Architecture of Cheap Arm SBC Board FZ3
MYIR offers the FZ3 Kit, which includes the FZ3 equipped with a radiator and essential accessories such as a power adapter, a 16GB TF card, a mini USB cable, and a mini DP to HDMI cable. This comprehensive kit is designed to enable users to begin their development projects immediately upon unboxing, ensuring a smooth and quick start.
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Features |
Description |
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Dimensions |
100mm x 70mm |
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PCB Layer |
12-layer |
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Power Supply |
DC12V/2A |
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Static Power |
About 5W |
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Working Temp. |
-40°C~85°C |
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Target Applications |
AI Camera, AI Computing Box, AI Robot, Smart Car, Intelligent Electronic Scale, Patrol UAV, etc. |
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CPU |
Xilinx Zynq UltraScale+ XCZU3EG-1SFVC784E (ZU3EG, 784 Pin Package) MPSoC – 1.2GHz 64 bit Quad-core ARM® Cortex™-A53
– 600MHz Dual-core ARM® Cortex™-R5 processor
– ARM Mali™-400MP2 Graphics Processor
– 16nm FinFET+ FPGA fabric
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RAM |
4GB DDR4 (64-bit) |
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Flash |
8GB eMMC, 32MB QSPI, 32KB EEPROM |
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Ethernet |
1 x Gigabit Ethernet |
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USB |
1 x USB 2.0 Host, 1 x USB 3.0 Host |
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TF Card |
1 x Micro SD Card Slot |
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DP |
1 x Mini DisplayPort (4K/30fps, 2-lane) |
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PCIe |
1 x PCIe 2.1 Interface (1-lane) |
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MIPI-CSI |
1 x MIPI-CSI Interface (25-pin 0.3mm pitch FPC connector) |
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BT1120 |
1 x BT1120 Camera Interface (32-pin 0.5mm pitch FPC connector) |
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Debug |
1 x Mini USB-to-UART Port |
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JTAG |
1 x 6-pin 2.54mm pitch pin header |
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| LED |
1 x Power LED, 4 x Status LEDs (2 x Red, 2 x Green) |
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Buttons |
1 x FPGA Reset Button, 1 x System Reset Button |
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Others |
1 x RTC Battery Socket (AG2 or LR41 battery is recommended) |
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Expansion IOs |
Two 2.54mm pitch 2 x 20-pin IO Expansion Interfaces |
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Software |
Ready to run PetaLinux 2020.1
Supports Xilinx Vitis Software Development Platform supports PaddlePaddle deep learning AI framework |
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Features of Cheap Arm SBC Board FZ3
Cheap Arm SBC Board Hardware Features
Zynq® UltraScale+™ MPSoC devices offer 64-bit processor scalability, combining real-time control with soft and hard engines for graphics, video, waveform, and packet processing. Built on a platform with a common real-time processor and programmable logic, they come in three variants: dual application processor (CG) devices, quad application processor and GPU (EG) devices, and video codec (EV) devices, each tailored for different application needs.
Zynq UltraScale+ MPSoCs
The Zynq UltraScale+ family ensures footprint compatibility, allowing users to easily migrate designs between devices. Any two packages with the same footprint identifier code (the last letter and number sequence) are compatible. MYIR uses the XCZU3EG-1SFVC784E MPSoC for the MYD-CZU3EG Development Board by default. The C784 package offers the broadest footprint compatibility, enabling users to choose devices from the CG, EG, and EV variants.
Zynq UltraScale+ MPSoC Device Migration Table
MYIR may also provide the MYC-CZU3EG CPU Modules with XCZU2CG, XCZU3CG, XCZU4EV, or XCZU5EV MPSoC as options. The key features of these MPSoC devices are summarized below.
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Device |
XCZU2CG |
XCZU3CG |
XCZU3EG |
XCZU4EV |
XCZU5EV |
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Logic cells (k) |
103 | 154 | 154 | 192 | 256 |
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CLB Flip-Flops (K) |
94 | 141 | 141 | 176 | 234 |
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CLB LUTs (K) |
47 | 71 | 71 | 88 | 117 |
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Block RAM (Mb) |
5.3 | 7.6 | 7.6 | 4.5 | 5.1 |
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UltraRAM (Mb) |
– | – | – | 13.5 | 18.0 |
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DSP Slices |
240 | 360 | 360 | 728 | 1,248 |
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GTX transceivers |
PS-GTR4x (6Gb/s) | PS-GTR4x (6Gb/s) | PS-GTR4x (6Gb/s) | PS-GTR4x (6Gb/s), GTH4x (16.3Gb/s) | PS-GTR4x (6Gb/s), GTH4x (16.3Gb/s) |
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Processor Units |
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Application Processor Unit |
Dual-core ARM® Cortex™-A53 MPCore™ up to 1.3GHz |
Quad-core ARM® Cortex™-A53 MPCore™ up to 1.5GHz |
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Memory w/ECC |
L1 Cache 32KB I / D per core, L2 Cache 1MB, on-chip Memory 256KB |
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Real-Time Processor Unit |
Dual-core ARM Cortex-R5 MPCore™ up to 600MHz |
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Memory w/ECC |
L1 Cache 32KB I / D per core, Tightly Coupled Memory 128KB per core |
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Graphics Processing Unit |
– |
– |
Mali™-400 MP2 up to 667MHz |
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Video Codec |
– | – |
– |
H.264 / H.265 |
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Memory L2 Cache |
64KB |
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External Memory, Connectivity, Integrated Block Functionality |
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Dynamic Memory Interface |
x32/x64: DDR4, LPDDR4, DDR3, DDR3L, LPDDR3 with ECC |
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Static Memory Interfaces |
NAND, 2x Quad-SPI |
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High-Speed Connectivity |
PCIe® Gen2 x4, 2x USB3.0, SATA 3.1, DisplayPort, 4x Tri-mode Gigabit Ethernet |
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General Connectivity |
2 x USB 2.0, 2 x SD/SDIO, 2 x UART, 2 x CAN 2.0B, 2 x I2C, 2 x SPI, 4 x 32b GPIO |
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Power Management |
Full / Low / PL / Battery Power Domains |
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Security |
RSA, AES, and SHA |
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AMS – System Monitor |
10-bit, 1MSPS – Temperature and Voltage Monitor |
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Zynq UltraScale+ MPSoC Device Selection Guide
Dimensions of Cheap Arm SBC Board FZ3
Cheap Arm SBC Board Software Features
The Cheap Arm SBC Board FZ3 can run PetaLinux 2020.1 and supports the PaddlePaddle deep learning AI framework, which is fully compatible with Baidu Brain’s AI development tools, including EasyDL, AI Studio, and EasyEdge. This compatibility enables developers and engineers to rapidly leverage Baidu’s proven technology or deploy custom models, facilitating faster deployment.
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Item |
Features |
Description |
Source code provided |
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Tool chains |
gcc8.3.0 |
gcc version 8.3.0 |
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gcc 9.2.0 |
aarch64-none-elf-gcc version 9.2.0 |
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Bootloader |
boot.bin |
First boot program including FSBL and u-boot2020.01 |
Yes |
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Linux Kernel |
Linux 5.4.0 |
Customized kernel for FZ3 |
Yes |
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USB2.0/3.0 Host |
USB2.0/3.0 Host driver |
Yes |
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Ethernet |
Gigabit Ethernet driver |
Yes |
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MMC/SD/TF |
MMC/SD/TF card driver |
Yes |
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Qspi flash |
Qspi flash driver |
Yes |
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CAN |
CAN driver |
Yes |
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DP |
DP driver |
Yes |
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I2C |
I2C driver |
Yes |
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UART |
UART driver |
Yes |
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Watchdog |
Watchdog driver |
Yes |
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GPIO |
GPIO driver |
Yes |
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LED |
LED driver |
Yes |
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Button |
Button driver |
Yes |
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MIPI |
MIPI camera driver |
Yes |
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Application |
LED |
LED example |
Yes |
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CAN |
CAN example |
Yes |
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Net |
Socket example |
Yes |
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QT-Camera |
MIPI Camera example |
Yes |
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File system |
Ramdisk |
Ramdisk system image |
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Rootfs |
Buildroot making including Qt |
Yes |
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Petalinux |
Petalinux2020.1 |
Supports Xilinx Petalinux2020.1 development tools. MYIR provides complete BSP for the FZ3. |
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Software Features of Linux BSP
Baidu Brain’s AI development tools
Software Architecture of FZ3
Cheap Arm SBC Board FZ3
Cheap Arm SBC Board FZ3 with Installed Active Heatsink
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