Datasheet — Eyeq4

: Includes vehicle detection from any angle, next-generation lane detection, and traffic light detection. Environmental Modeling

The EyeQ4 is designed for high-level ADAS and partial autonomy, while the EyeQ5 is designed for full autonomy (Level 4/5) with significantly higher computing power.

The combination of general-purpose CPUs and purpose-built accelerators allows the EyeQ4 to achieve a , which represents a ten-fold increase over its predecessor, the EyeQ3 . This massive leap in capability is what enabled new, more advanced ADAS features.

The Mobileye EyeQ4 is a purpose-built, high-performance System-on-Chip that successfully balanced raw processing power with automotive-grade efficiency. At the time of its release, its performance of within a 3W power envelope was a breakthrough for the automotive industry, enabling mass-market Level 3 autonomous driving. It remains a foundational, highly successful technology, representing a critical milestone in the journey toward higher levels of vehicle automation and establishing a legacy that continues to influence modern automotive processors. eyeq4 datasheet

Multi-camera processing, pixel-level scene segmentation, crowd-sourced mapping (REM), and object detection.

The CPU complex executes Mobileye's RSS model—a mathematical framework that defines what it means for an automated vehicle to drive safely. It evaluates surrounding traffic behaviors to prevent the host vehicle from initiating dangerous maneuvers. Deep Learning Object Classification

The Mobileye EyeQ4 is a high-performance, low-power System-on-Chip (SoC) designed specifically for camera-based Advanced Driver Assistance Systems (ADAS) and autonomous driving. Launched in 2018 as the successor to the EyeQ3, it offers roughly ten times the processing capability while maintaining a strict automotive power envelope. : Includes vehicle detection from any angle, next-generation

: Capable of full environmental modeling and holistic path planning. : Supports Mobileye's Road Experience Management (REM) for crowd-sourced high-definition mapping. Safety Features

6x Vector Microcode Processors (VMP), 2x Multithreaded Processing Clusters (MPC), 2x Programmable Macro Arrays (PMA) >2.5 Teraflops (or 2.5 TOPS depending on variant) Power Consumption ~3 Watts (up to 5W in some high-load configurations) Process Node

The automotive industry's shift toward autonomous driving requires immense computational power packed into highly efficient semiconductor designs. At the heart of this revolution is Mobileye's EyeQ family of System-on-Chips (SoCs). The EyeQ4, representing the fourth generation of this vision-processing lineage, serves as a critical milestone. It transitioned the market from basic Advanced Driver Assistance Systems (ADAS) to semi-autonomous Level 3 driving capabilities. This massive leap in capability is what enabled

The EyeQ4 is engineered to provide "super-computer" capabilities within a strictly constrained automotive power envelope.

The Mobileye EyeQ4 has been widely adopted by major automotive OEMs, including General Motors, BMW, Nissan, and Honda, powering ADAS in over 160 vehicle models.

The EyeQ4 achieves its processing efficiency through a . Rather than relying solely on general-purpose CPU cores or power-hungry GPUs, Mobileye utilizes proprietary, specialized accelerators tailored for computer vision.

Allows high-speed chip-to-chip communication, enabling the EyeQ4 to be paired with another EyeQ4 or a host vehicle infotainment processor. 5. Software Capabilities & Computer Vision Engine