Eyeq4 Datasheet «QUICK • 2025»

"The EyeQ4 enables simultaneous processing of up to 8 cameras, including forward stereo, wide-angle, rear, and driver monitoring, with deterministic sub‑100ms latency—critical for L2+ ADAS functions like automated lane change, cross-traffic alert, and traffic jam pilot."

| Feature | EyeQ3 | EyeQ4 | EyeQ5 | |---------|-------|-------|-------| | Process node | 40nm | 28nm FD-SOI | 7nm FinFET | | TOPS | 0.256 | 2.5 | 24 | | Cameras supported | 1-2 | Up to 8 | Up to 16 | | ASIL level | B | B (D for safety path) | B/D | | Production start | 2014 | 2018 | 2021 |

For detailed specifications, such as:

You would typically refer to the official datasheet provided by Mobileye or Intel. Datasheets for semiconductor products are detailed technical documents that provide specifications on the product's performance, interfaces, and how to integrate it into a system.

If you're looking for the most accurate and up-to-date information, I recommend checking directly with Intel's official resources or their product documentation portal. Is there something specific you would like to know about the EyeQ4 or its applications?

The Mobileye EyeQ4 is a high-performance vision processor designed for Advanced Driver Assistance Systems (ADAS) and autonomous driving, offering a massive leap in processing power over its predecessors. Key Technical Specifications Performance: 2.5 Tera Operations Per Second (TOPS). eyeq4 datasheet

Efficiency: 10x more powerful than EyeQ3 with only a 20% increase in power consumption. Architecture:

Manufactured using 28nm FD-SOI technology by STMicroelectronics.

Features 14 computing cores, including specialized vector accelerators. Integrates four multi-threaded MIPS InterAptiv cores.

Camera Support: Capable of processing up to 10 cameras simultaneously at 36 frames per second. "Interesting" Breakthroughs & Capabilities

High Utilization: Achieves a 96% utilization rate, which is significantly higher than most general-purpose GPUs. "The EyeQ4 enables simultaneous processing of up to

Complex Recognition: Supports "any-angle" vehicle detection and next-generation lane detection.

Scalability: Used in configurations ranging from a single "Mono" camera for collision avoidance to "Tricam" setups for semi-autonomous driving.

Safety Standards: Designed for compliance with EU NCAP and US NHTSA regulatory requirements.

Market Impact: By 2018, it was already launched in 78 different vehicle models from 16 major manufacturers like BMW, Nissan, and GM.

💡 Pro-Tip: For specific implementation, designers often pair the EyeQ4 with a dedicated power management unit like the TI LP875761-Q1 to handle the SoC's core rail requirements. | Feature | EyeQ3 | EyeQ4 | EyeQ5

If you'd like to dive deeper, would you prefer details on the programming architecture or its role in specific car models?

In the rapidly evolving landscape of Advanced Driver Assistance Systems (ADAS) and autonomous driving, the Mobileye EyeQ4 stands as a watershed moment in system-on-chip (SoC) design. Released as the successor to the widely successful EyeQ3 (famous for enabling Tesla’s first-generation Autopilot), the EyeQ4 has become one of the most deployed vision processors in production vehicles from BMW, Nissan, Volkswagen, and GM.

For hardware engineers, system architects, and technical purchasers, accessing a detailed EyeQ4 datasheet is critical. While the full datasheet is restricted under non-disclosure agreements (NDA) with Mobileye (now an Intel company), this article aggregates all publicly available technical specifications, functional blocks, electrical characteristics, and performance metrics to serve as a comprehensive reference.

The EyeQ4 is a powerful System-on-Chip (SoC) designed for Level 2+ (L2+) and Level 3 (L3) autonomous driving. It is the fourth generation of Mobileye’s EyeQ family, balancing high performance with low power consumption. It processes camera, radar, and LiDAR data simultaneously.