The Mobileye EyeQ4 is a high-performance vision-based System-on-Chip (SoC) designed specifically for Advanced Driver Assistance Systems (ADAS) and autonomous driving. Leveraging a heterogeneous multi-core architecture, it delivers significant leaps in computational efficiency compared to its predecessors.
The following data summarizes the key specifications and architectural details typically found in an EyeQ4 datasheet. Core Performance Specifications
The EyeQ4 is engineered to provide "super-computer" capabilities within a strictly constrained automotive power envelope.
Computational Power: Up to 2.5 Tera Operations Per Second (TOPS).
Power Consumption: Approximately 3 Watts, achieved through a high-efficiency 28nm FD-SOI (Fully Depleted Silicon On Insulator) manufacturing process.
Safety Rating: Designed to meet ISO-26262 standards with a safety level of ASIL-B(D).
Camera Support: Capable of processing up to 8 cameras simultaneously at 36 frames per second (fps). Architectural Overview
The EyeQ4 utilizes a diverse set of specialized accelerators to handle complex computer vision and deep learning tasks efficiently. Description CPU Cores General Purpose Compute
Quad-core MIPS interAptiv processors with multi-threading (up to 4 threads per core). VMP Vector Microcode Processor
6 cores dedicated to VLIW and SIMD operations, ideal for short integral types in vision algorithms. MPC Multi-threaded Processor Cluster
2 cores offering higher efficiency than standard CPUs and more versatility than a GPU. PMA Programmable Macro Array
2 Cores using a CGRA dataflow machine architecture for dense computer vision algorithms. EyeQ4 Family Variants
Mobileye offers different versions of the EyeQ4 to provide a scalable solution for varying levels of vehicle autonomy.
EyeQ4 High: The full-capability version designed for surround-view systems and trifocal front-sensing. It processes information from multiple cameras, radars, and lidars to create a "safety cocoon" around the vehicle.
EyeQ4 Mid: A subset version tailored for mid-range ADAS. It integrates fewer cores (e.g., three MIPS cores and four VMP cores) and is typically used in single-camera or trifocal configurations.
EyeQ4 Lite: Optimized for entry-level NCAP compliance and basic collision avoidance features. Key Features and Applications
The EyeQ4 datasheet highlights several next-generation ADAS capabilities:
Object Detection: Support for vehicle detection from any angle and pedestrian/cyclist identification.
Mapping (REM): Integration with Mobileye Road Experience Management (REM) for crowdsourced high-definition mapping. eyeq4 datasheet
Lane Detection: Next-generation lane and road boundary detection for centering and departure warnings.
Sensor Fusion: Efficiently fuses data from optical sensors with radar and scanning-beam lasers. Physical and Electrical Characteristics
Detailed hardware integration data for the EyeQ4-Mid and EyeQ4-High includes: Package: Flip-Chip FBGA with 784 pins. Dimensions: 22.5 mm x 22.5 mm x 1.7 mm.
Manufacturing: Produced by STMicroelectronics using a proprietary 28nm process.
Interfaces: Includes high-speed automotive interfaces such as Ethernet, CAN, and PCIe for ECU communication.
For developers seeking to integrate this chip, the Mobileye Technology Page provides further insights into the evolution of this architecture and its role in modern autonomous platforms.
Mobileye EyeQ4 is a high-performance vision system-on-chip (SoC) designed specifically for advanced driver-assistance systems (ADAS) and semi-autonomous driving. Developed by Mobileye (an Intel company) and manufactured by STMicroelectronics, it represented a massive jump in processing power—roughly 10 times that of its predecessor, the EyeQ3, while consuming only 20% more power. Key Specifications & Architecture
is built on a 28nm Fully Depleted Silicon On Insulator (FD-SOI) process, which is critical for maintaining high performance with a low power envelope of approximately 3 watts. -High Specifications Compute Performance ~2.5 Teraflops (1.26 Billion MAC/s) CPU Cores
4 multi-threaded MIPS InterAptiv cores (4 hardware threads each) Vision Accelerators
6 Vector Microcode Processors (VMP), 2 Multithreaded Processing Clusters (MPC), 2 Programmable Macro Arrays (PMA) Camera Input Up to 8 cameras simultaneously at 36 fps Functional Safety ISO 26262 ASIL-B(D) Packaging Flip-Chip FBGA 784-pin (22.5 x 22.5 x 1.7mm) Specialized Processing Cores The "magic" of the
datasheet lies in its heterogeneous architecture, which uses different types of proprietary accelerators for specific vision tasks:
Vector Microcode Processors (VMP): A VLIW and SIMD machine optimized for computer vision and deep learning algorithms.
Multithreaded Processing Cluster (MPC): More versatile and efficient than a standard GPU, handling complex control and data management.
Programmable Macro Array (PMA): A CGRA dataflow machine providing compute density similar to fixed-function hardware while remaining programmable. Product Variants: High vs. Mid The Evolution of EyeQ - Mobileye
Mobileye EyeQ4 represents a pivotal bridge in the evolution of automotive technology, moving from simple driver assistance to high-level semi-autonomous driving. As a System-on-Chip (SoC) designed specifically for vision processing, its datasheet reveals a sophisticated architecture engineered to handle the chaotic, real-world environment of modern roads. The Architecture of Vision
At the heart of the EyeQ4 is a specialized heterogeneous architecture. Unlike a standard computer processor, the EyeQ4 utilizes a mix of multi-threaded CPU cores vector microcode processors (VMPs)
. This "asymmetric" design allows the chip to perform massive parallel processing—essentially "seeing" and "interpreting" multiple data streams from cameras and sensors simultaneously—while maintaining a remarkably low power profile of approximately 3 to 5 watts. Safety and Redundancy
A critical takeaway from the EyeQ4 specifications is its focus on functional safety Processor Cores : Number and type of cores (CPU, SHAVE, etc
. In the automotive world, a chip failure can have life-altering consequences. The EyeQ4 was built to meet
safety standards, meaning it includes hardware-level redundancies. It doesn't just process pixels; it constantly checks its own work to ensure that the "decisions" it passes to the car’s braking or steering systems are reliable and error-free. Capability vs. Efficiency
While modern chips like the EyeQ5 or NVIDIA’s Orin offer more raw tera-operations per second (TOPS), the EyeQ4 is a masterclass in efficiency
. It provides the computational muscle for Level 2 and Level 3 autonomous features—such as lane keeping, traffic sign recognition, and pedestrian detection—without requiring the liquid cooling or massive battery drain seen in more experimental platforms. Conclusion
The EyeQ4 datasheet is more than a technical list; it is a blueprint for the "eyes" of the modern vehicle. By balancing high-speed visual processing with rigorous safety standards and low power consumption, Mobileye created a platform that transitioned autonomous driving from a laboratory concept into a scalable, everyday reality for millions of drivers. (like TOPS) or compare it to the newer EyeQ5/EyeQ6
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 by Mobileye and manufactured by STMicroelectronics. It is engineered for Advanced Driver Assistance Systems (ADAS) and autonomous driving, offering a significant leap in efficiency and power over its predecessors. Key Technical Specifications
Architecture: Built on 28nm FD-SOI (Fully Depleted Silicon On Insulator) technology, which allows for low power consumption while maintaining high performance.
Processing Power: Capable of 2.5 Teraflops (TFLOPS) of performance. It is approximately 10 times more powerful than the EyeQ3.
Power Consumption: Extremely efficient, operating within a budget of approximately 3 Watts. Core Configuration: 4 multi-threaded MIPS InterAptiv CPU cores.
6 Vector Microcode Processor (VMP) cores for computer vision tasks. 2 Multithreaded Processing Cluster (MPC) cores. 2 Programmable Macro Array (PMA) cores.
Camera Support: Can process information from up to 8 cameras simultaneously at 36 frames per second (fps). EyeQ4 Variants
Mobileye developed different tiers of the chip to meet various automotive needs:
Basic: Focused on monocular processing for standard collision avoidance.
EyeQ4M (Mid): Supports trifocal camera configurations for high-end functions like semi-autonomous driving.
EyeQ4H (High): The most capable version, supporting sensor fusion with radars and scanning-beam lasers. Applications & Industry Use You would typically refer to the official datasheet
Safety Features: Powers technologies like Autonomous Emergency Braking (AEB), next-generation lane detection, and vehicle detection from any angle.
Mapping: Supports Mobileye's Road Experience Management (REM) for high-definition mapping and localization.
OEM Partnerships: Used by major manufacturers including BMW, Nissan, Honda, and General Motors.
For specialized engineering documentation, Texas Instruments provides technical guides on power management solutions specifically for the EyeQ4 Mid and High SoC.
The Mobileye EyeQ4 is a 28nm FD-SOI, high-performance System-on-Chip (SoC) designed for camera-based Advanced Driver Assistance Systems (ADAS), delivering over 2.5 teraflops of processing power at 3W. Featuring six VMP cores, two MPC cores, and two PMA cores, it supports up to 8 simultaneous cameras for advanced computer vision and autonomous emergency braking. For more details, visit Mobileye.
EyeQ4 Datasheet Write-up
The EyeQ4 is a high-performance, low-power System-on-Chip (SoC) designed for advanced driver-assistance systems (ADAS) and autonomous driving applications. Developed by Mobileye, a leading provider of computer vision and machine learning technologies, the EyeQ4 is a fourth-generation SoC that offers significant improvements in processing power, memory, and software capabilities compared to its predecessors.
Overview
The EyeQ4 datasheet provides an in-depth look at the SoC's architecture, features, and specifications. Here are some key highlights:
Key Features
The EyeQ4 datasheet highlights several key features that make it an attractive solution for ADAS and autonomous driving applications:
Applications
The EyeQ4 is designed for a range of ADAS and autonomous driving applications, including:
Conclusion
The EyeQ4 datasheet provides a comprehensive overview of Mobileye's latest SoC for ADAS and autonomous driving applications. With its powerful processing capabilities, large memory capacity, and support for a range of sensors and software frameworks, the EyeQ4 is well-suited for demanding applications like computer vision, machine learning, and autonomous driving. As the automotive industry continues to evolve towards more advanced driver-assistance systems and autonomous vehicles, the EyeQ4 is poised to play a key role in enabling these technologies.
Unlike commodity chips (e.g., from TI or STMicroelectronics), Mobileye does not publish the full EyeQ4 datasheet on its public website. To obtain it:
As of this writing, no public download of the full 2,500+ page EyeQ4 datasheet exists. Access is gated through:
For academic or evaluation purposes, Mobileye offers a redacted public datasheet (45 pages) covering mechanical, power, and thermal specs without register-level details.