Datasheet - Eyeq4

For specialized engineering documentation, Texas Instruments provides technical guides on power management solutions specifically for the EyeQ4 Mid and High SoC.

: Capable of over 2.5 Teraflops (TFLOPS) of processing power. Power Consumption : Highly efficient, typically consuming only Manufacturing Process : Built using 28nm FD-SOI eyeq4 datasheet

datasheet lies in its heterogeneous architecture, which uses different types of proprietary accelerators for specific vision tasks: Two Multithreaded Processing Cluster cores

The datasheet clearly shows that EyeQ4 was the first Mobileye chip to offer – stitching together video from all eight cameras to create a 360-degree birds-eye view. and neural-network workloads

Two Multithreaded Processing Cluster cores, more versatile and efficient than standard GPUs for automotive tasks.

The EyeQ4 is a family of system-on-chip (SoC) processors developed for automotive vision applications, designed to meet the demands of advanced driver-assistance systems (ADAS) and the scaling requirements of automated driving. Built to process high-resolution camera inputs with low latency and to run complex perception, sensor-fusion, and neural-network workloads, EyeQ4 represents a generation of automotive-grade vision accelerators that bridge camera sensors and higher-level vehicle behavior.