XCZU7EG-1FFVC1156E
| 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 |
| 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 | 500MHz, 600MHz, 1.2GHz |
| 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).
Quad ARM? Cortex?-A53 MPCore? with CoreSight?, Dual ARM?Cortex?-R5 with CoreSight?, ARM Mali?-400 MP2 core processor(s) are used in the construction of this SoC.The manufacturer assigns this system on a chip with a 1156-BBGA, FCBGA package.A 256KB RAM SoC chip provides reliable performance to users.The internal architecture of this SoC design is based on the MCU, FPGA technique.It is a member of the Zynq? UltraScale+? MPSoC EG series.For this SoC meaning, the average operating temperature should be 0°C~100°C TJ.As one of the most important things to note is that this SoC security combines Zynq?UltraScale+? FPGA, 504K+ Logic Cells together.Housed in the state-of-art Tray package.As a whole, this SoC part includes 360 I/Os.
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-1FFVC1156E System On Chip (SoC) applications.
- Microcontroller
- Multiprocessor system-on-chips (MPSoCs)
- Industrial automation devices
- Apple smart watch
- Mobile computing
- Deep learning hardware
- Networked sensors
- Flow Sensors
- Medical
- ARM Cortex M4 microcontroller
