
Lattice Semiconductor Corporation
LFSC3GA80E-6FF1704I
LFSC3GA80E-6FF1704I ECAD Model
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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