LFSC3GA80E-6FF1704I
LFSC3GA80E-6FF1704I
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Lattice Semiconductor Corporation

LFSC3GA80E-6FF1704I


LFSC3GA80E-6FF1704I
SC
F11-LFSC3GA80E-6FF1704I
Active
IC FPGA 904 I/O 1704FCBGA
1704-OFCBGA (42.5x42.5)

LFSC3GA80E-6FF1704I ECAD Model


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LFSC3GA80E-6FF1704I Attributes


Type Description Select
Mfr Lattice Semiconductor Corporation
Series SC
Package Tray
Number of LABs/CLBs 20000
Number of Logic Elements/Cells 80000
Total RAM Bits 5816320
Number of I/O 904
Voltage - Supply 0.95V ~ 1.26V
Mounting Type Surface Mount
Operating Temperature -40°C ~ 105°C (TJ)
Package / Case 1704-BBGA, FCBGA
Supplier Device Package 1704-OFCBGA (42.5x42.5)
Base Product Number LFSC3GA80

LFSC3GA80E-6FF1704I Datasheet Download


LFSC3GA80E-6FF1704I Overview



The LFSC3GA80E-6FF1704I is a low-power, high-performance chip model manufactured by STMicroelectronics. It is a System-in-Package (SiP) that integrates a dual-core Arm Cortex-A7 processor, a 3D GPU, and a 3D video encoder into a single package. The processor runs at a maximum frequency of 1.2 GHz and has a 32-bit wide memory interface. It also features a dedicated multimedia accelerator, a dual-channel DDR3/DDR3L memory controller, and an integrated display controller.


The LFSC3GA80E-6FF1704I is designed for embedded applications such as home automation, home security, medical, industrial, and automotive. It is suitable for a wide range of applications including intelligent video surveillance, robotics, industrial automation, and home automation. It is also suitable for applications such as machine vision, image processing, and machine learning.


The chip model features low power consumption and high performance. It has an integrated power management system that allows for efficient power management. The chip model also features a wide range of peripherals including USB, Ethernet, UART, I2C, and SPI. It also has an integrated graphics accelerator and a dedicated video encoder.


The LFSC3GA80E-6FF1704I is a highly versatile chip model that is suitable for a wide range of applications. It is designed for low power consumption and high performance, making it suitable for embedded applications. The chip model also features a wide range of peripherals, an integrated graphics accelerator, and a dedicated video encoder, making it suitable for applications such as machine vision, image processing, and machine learning.



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