Parameters |
Factory Lead Time |
1 Week |
Package / Case |
1156-BBGA, FCBGA |
Operating Temperature |
0°C~100°C TJ |
Packaging |
Tray |
Published |
2016 |
Series |
Zynq® UltraScale+™ MPSoC EG |
Pbfree Code |
yes |
Part Status |
Active |
Moisture Sensitivity Level (MSL) |
4 (72 Hours) |
HTS Code |
8542.31.00.01 |
Peak Reflow Temperature (Cel) |
NOT SPECIFIED |
Time@Peak Reflow Temperature-Max (s) |
NOT SPECIFIED |
Number of I/O |
360 |
Speed |
533MHz, 600MHz, 1.3GHz |
RAM Size |
256KB |
Core Processor |
Quad ARM® Cortex®-A53 MPCore™ with CoreSight™, Dual ARM®Cortex™-R5 with CoreSight™, ARM Mali™-400 MP2 |
Peripherals |
DMA, WDT |
Connectivity |
CANbus, EBI/EMI, Ethernet, I2C, MMC/SD/SDIO, SPI, UART/USART, USB OTG |
Architecture |
MCU, FPGA |
Primary Attributes |
Zynq®UltraScale+™ FPGA, 504K+ Logic Cells |
RoHS Status |
ROHS3 Compliant |
This SoC is built on Quad ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight?, ARM Mali?-400 MP2 core processor(s).
A core processor Quad ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight?, ARM Mali?-400 MP2 is used to build this SoC.The manufacturer assigns this system on a chip with a 1156-BBGA, FCBGA package as per the manufacturer's specifications.The 256KB RAM implementation of this SoC chip ensures efficient performance for users.The SoC design uses MCU, FPGA architecture for its internal architecture.A system on chip SoC of this type belongs to the Zynq? UltraScale+? MPSoC EG series.It is expected that this SoC meaning will operate at 0°C~100°C TJ on average.There is one thing to note about this SoC security: it combines Zynq?UltraScale+? FPGA, 504K+ Logic Cells.An advanced Tray package houses this SoC system on a chip.This SoC part contains a total of 360 I/Os in total.
Quad ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight?, ARM Mali?-400 MP2 processor.
256KB RAM.
Built on MCU, FPGA.
There are a lot of Xilinx Inc.
XCZU7EG-2FFVC1156E System On Chip (SoC) applications.
- POS Terminals
- Sports
- Published Paper
- Body control module
- Measurement tools
- Smart appliances
- Efficient hardware for inference of neural networks
- Industrial robot
- ARM Cortex M4 microcontroller
- USB hard disk enclosure