Eyeq4 Datasheet [verified] -

Extremely efficient, typically consuming only 3 watts .

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

The Mobileye EyeQ4 is a highly integrated, vision-centric System-on-Chip (SoC) optimized for high-performance, low-power ADAS and autonomous driving workloads. Launched as a major leap forward from its predecessor (EyeQ3), the EyeQ4 introduces a heterogeneous multi-core architecture capable of processing complex computer vision algorithms, deep neural networks (DNNs), and sensor fusion tasks simultaneously. Key Targets eyeq4 datasheet

: At just 3W, it delivers heavy-duty processing without requiring complex cooling systems, a critical factor for automotive reliability. Massive Scalability

This deep dive article acts as an expanded technical datasheet reference, detailing the SoC's heterogeneous architecture, physical specifications, peripheral interfaces, and real-world system applications. 1. Architectural Overview & Compute Engine Extremely efficient, typically consuming only 3 watts

For automotive tier-1 suppliers and OEMs, the EyeQ4 datasheet outlines a highly stable, ISO 26262 compliant platform capable of driving multi-camera surround perception, REM mapping, and robust L2+/L3 driving automation safely into the mass market.

Can process up to at 36 FPS (high version) Package Size 22.5 x 22.5 mm (784-pin Flip-Chip FBGA) Architecture Overview Launched as a major leap forward from its

Developed by Mobileye and manufactured by STMicroelectronics using 28nm FD-SOI (Fully Depleted Silicon On Insulator) technology, which helps maintain low power consumption despite high performance.

The capabilities of the EyeQ4 have made it a popular choice for automakers looking to enhance both safety and driving comfort. It serves as the central vision processor for a wide range of ADAS functions, as demonstrated by its implementation in vehicles like the NIO ES8, the Ford Bronco and F-150, and the third-generation Haval H6. Key applications include:

4x multi-threaded 64-bit RISC MIPS CPUs (4 hardware threads each)

The is a highly efficient brain for modern cars . It is a vision processor chip made by Mobileye . It helps cars see, read road signs, and stay safe.