Eyeq4 Datasheet Online
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:
For engineers: Do not expect to bit-bang the EyeQ4 like a GPU. Its power lies in the tightly coupled hardware accelerators and Mobileye’s closed software stack. While the full datasheet remains behind legal agreements, the public specifications confirm that the EyeQ4 hit a sweet spot between cost, power, and capability—one that still powers millions of vehicles on the road today.
: Includes support for complex path planning and "Driving Policy" to manage vehicle behavior in traffic. Yole Group Product Variants EyeQ4-High
: High-performance multi-core design including 4 multi-threaded MIPS InterAptiv CPU cores, 6 Vector Microcode Processors (VMP), 2 Multithreaded Processing Clusters (MPC), and 2 Programmable Macro Arrays (PMA). Performance : Delivers 2.5 Teraflops (TOPS) eyeq4 datasheet
The reveals a processor meticulously engineered for the harsh, real-time, safety-critical environment of automotive perception. Its combination of 2.5 TOPS of deterministic vision performance, 8‑camera input, and ASIL B safety certification made it the dominant ADAS processor from 2018 to 2023.
Includes Hazard Detection, Red Light Warning, and Stop Sign/No Entry warnings. Variants & Compliance Scalability: Available in multiple versions, including EyeQ4-High (full autonomous capability) and
: By 2018, it was already launched in 78 different vehicle models from 16 major manufacturers like BMW, Nissan, and GM. The capabilities of the EyeQ4 have made it
Whether you are an automotive engineer, a hardware enthusiast, or an industry analyst, understanding the technical specifications, architecture, and applications of the EyeQ4 is essential to grasping how modern vehicles perceive the world. Core Architecture and Processing Power
The EyeQ4 is engineered to provide "super-computer" capabilities within a strictly constrained automotive power envelope.
: Manufactured using STMicroelectronics' 28nm FD-SOI (Fully Depleted Silicon On Insulator) process, which is optimized for low power consumption. Its power lies in the tightly coupled hardware
According to reference designs in the EyeQ4 datasheet, the chip is best suited for:
A: No. The CPU cluster runs Bare Metal or an AUTOSAR RTOS. No MMU for full Linux.
The computing power of the EyeQ4 is not just theoretical; it translates directly into advanced safety and autonomous features on the road. The processor was specifically designed to execute Mobileye's , which aggregates crowd-sourced mapping data to build a high-definition global map for autonomous vehicles. Key real-world functionalities driven by the EyeQ4 include:
