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.
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 System-on-Chip (SoC) designed for vision-based Advanced Driver Assistance Systems (ADAS) and semi-autonomous driving. Launched as a significant leap over its predecessor, the EyeQ3, it provides the computational "super-computer" power required for complex environmental modeling while maintaining strict automotive power efficiency. Core Specifications & Architecture Performance: Delivers over 2.5 Teraflops (2.5 TOPS) of compute power. Power Consumption: Highly efficient, typically consuming only Process Technology: Manufactured using STMicroelectronics' 28nm FD-SOI (Fully Depleted Silicon-on-Insulator) process. Heterogeneous Processor Mix: Four multi-threaded MIPS processor cores. VMP (Vector Microcode Processors):
Six cores (in the "High" version) optimized for computer vision and deep learning tasks. MPC (Multi-threaded Processing Cluster): Two cores more versatile than traditional GPUs. PMA (Programmable Macro Array):
Two cores providing compute density similar to fixed-function hardware. Functional Capabilities
The EyeQ4 is designed to create a "safety cocoon" around the vehicle by processing multiple sensor inputs simultaneously. Multi-Camera Support: The "High" version can process information from up to simultaneously at 36 frames per second. Sensor Fusion:
Supports inputs from trifocal front cameras, surround-view systems, long-range rear cameras, radars, and scanning beam lasers. Advanced Features: Deep Learning: eyeq4 datasheet
Utilizes cutting-edge computer vision algorithms like Deep Layered Networks. 3D Detection: First to introduce 3D vehicle and motorbike detection. Environmental Mapping:
Supports Road Experience Management (REM) for high-definition mapping harvesting. Safety Alerts:
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
(subset of cores for select functions), allowing carmakers to scale hardware solutions. Safety Standard: Developed according to the standard, providing a safety level of Market Presence: Integrated into vehicles from major OEMs such as , Ford, General Motors, Nissan, and Volvo. generations?
EYEQ4 Datasheet Overview
The EYEQ4 is a highly integrated, low-power, and compact image signal processor (ISP) designed for various camera applications. The EYEQ4 datasheet provides detailed specifications, features, and technical information for the chip.
Key Features:
Datasheet Contents:
The EYEQ4 datasheet typically includes:
Target Applications:
The EYEQ4 is suitable for various camera applications, including:
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.
The Mobileye EyeQ4 is a high-performance vision system-on-chip (SoC) designed for Advanced Driver Assistance Systems (ADAS) and semi-autonomous driving. It provides approximately 2.5 teraflops of processing power while maintaining a low-power automotive-grade envelope of roughly 3W. Technical Specifications Summary
The EyeQ4 architecture is based on a heterogeneous computing model that assigns specific tasks to specialized cores for maximum efficiency. Feature Specification Details Processor Cores
4x multi-threaded 64-bit RISC MIPS CPUs (4 hardware threads each) Vision Accelerators
6x Vector Microcode Processors (VMP), 2x Multithreaded Processing Clusters (MPC), 2x Programmable Macro Arrays (PMA) Compute Power >2.5 Teraflops (or 2.5 TOPS depending on variant) Power Consumption ~3 Watts (up to 5W in some high-load configurations) Process Node
28nm Fully Depleted Silicon On Insulator (FD-SOI) by STMicroelectronics Camera Support Up to 8 cameras simultaneously at 36 FPS Safety Standard ISO 26262 compliant with ASIL-B(D) safety level Packaging Flip-Chip FBGA 784-pin; 22.5 x 22.5 x 1.7 mm EyeQ4 Variant Differences
Mobileye developed multiple versions of the chip to support different vehicle capabilities: EyeQ4-High (EyeQ4H)
: The most capable version, supporting trifocal front-sensing, surround-view systems (4 cameras), and sensor fusion with radar and laser scanners. EyeQ4-Medium (EyeQ4M)
: A cost-optimized variant with a subset of cores, typically used for monocular or trifocal camera configurations in standard ADAS applications. Key Interfaces and Connectivity High-performance ISP : The EYEQ4 features a high-performance
According to the EyeQ4 Product Brief, the chip includes the following I/O: Memory: Dual 32-bit LPDDR4 SDRAM interfaces at 1.6GHz. Network: 1Gb Ethernet port.
Video Input: 4x MIPI CSI-2 Rx serial video ports and 1x parallel video port.
Automotive Buses: 3x CAN ports (>1Mbps), 3x UART, 3x I2C, and 4x SPI interfaces. Documentation and Resources Mobileye EyeQ4 Vision Processor Family - Yole Group
The Mobileye EyeQ4 Go to product viewer dialog for this item.
is a high-performance System-on-Chip (SoC) designed for Advanced Driver Assistance Systems (ADAS) and autonomous driving. Manufactured by STMicroelectronics using 28nm FD-SOI technology, it provides 10x the processing power of its predecessor, the EyeQ3, while maintaining a low power envelope. Technical Specifications
The EyeQ4 architecture utilizes a heterogeneous mix of specialized accelerators to achieve high efficiency. Specification Performance 2.5 TOPS (High variant) / ~1.1 TOPS (Mid variant) Power Consumption ~3 Watts (Automotive grade) CPU Cores 4 multi-threaded MIPS InterAptiv cores (4 threads each) Vision Accelerators
6 Vector Microcode Processors (VMP), 2 Multithreaded Processing Clusters (MPC), 2 Programmable Macro Arrays (PMA) Camera Support Up to 8 cameras simultaneously at 36 fps Safety Standard ISO 26262 compliant; ASIL-B(D) level Package Flip-Chip FBGA 784-pin (22.5 x 22.5 x 1.7mm) Key Capabilities The Evolution of EyeQ - Mobileye
The Mobileye EyeQ4 is a high-performance System-on-Chip (SoC) designed for Advanced Driver Assistance Systems (ADAS) and autonomous driving
. Launched in 2018, it offers approximately 10 times the processing power of its predecessor, the EyeQ3, while maintaining high energy efficiency. Yole Group Core Technical Specifications Architecture
: Features 4 CPU cores with 4 hardware threads each, integrated with Mobileye's proprietary Vector Microcode Processors (VMP). Performance
: Capable of over 2.5 Teraflops (TFLOPS) of processing power. Power Consumption : Highly efficient, typically consuming only Manufacturing Process : Built using 28nm FD-SOI
(Fully Depleted Silicon On Insulator) technology for low power consumption. Vision Processing : Supports visual input from up to simultaneously at 30fps. Yole Group Key Functional Features Environment Modeling
: Capability for vehicle detection from any angle, next-generation lane detection, and traffic light detection. Mapping & Localization : Supports Road Experience Management (REM™) for real-time crowd-sourced mapping. Safety Applications
: Powers critical functions such as Autonomous Emergency Braking (AEB), Pedestrian AEB, and Forward Collision Warning (FCW). Driving Policy
: Includes support for complex path planning and "Driving Policy" to manage vehicle behavior in traffic. Yole Group Product Variants EyeQ4-High
: The premium version capable of processing multiple cameras (up to 8) for 360-degree surround-view and semi-autonomous functions.
: A mid-range version typically used for mono-camera systems, such as the ZF S-Cam4 family. Yole Group Automotive Integration
The EyeQ4 has been widely adopted by major global automotive manufacturers, including: General Motors Yole Group For detailed power supply designs involving this chip, Texas Instruments
Mobileye EyeQ4 is a high-performance vision processor System-on-Chip (SoC) designed specifically for Advanced Driver Assistance Systems (ADAS) and semi-autonomous driving. Launched in 2018, it represented a significant jump in performance, offering roughly 10 times the processing power of its predecessor, the EyeQ3, with only a 20% increase in power consumption. Core Specifications & Performance
The EyeQ4 architecture is built on a 28nm FD-SOI (Fully Depleted Silicon On Insulator) process technology from STMicroelectronics, which is critical for its high efficiency. Specification Details Performance Over 2.5 Teraflops (TFLOPS) or 2.5 TOPS Power Consumption Approximately 3 Watts for typical automotive use Video Processing
Can process up to 8 cameras simultaneously at 36 FPS (high version) Package Size 22.5 x 22.5 mm (784-pin Flip-Chip FBGA) Architecture Overview
The EyeQ4 uses a heterogeneous "accelerator-rich" architecture. It doesn't rely solely on standard CPUs but instead uses four specialized classes of programmable accelerators designed for computer vision tasks.
MIPS CPU Cores: Features four multi-threaded MIPS InterAptiv processor cores (with 4 threads each) for general-purpose management and control.
Vector Microcode Processors (VMP): Six programmable cores optimized for vision algorithms like image filtering and feature extraction.
Multithreaded Processing Cluster (MPC): Two cores designed to be more versatile than a GPU and more efficient than a CPU for complex vision tasks.
Programmable Macro Array (PMA): Two cores offering compute density similar to fixed-function hardware while remaining fully programmable. Key ADAS Capabilities
The EyeQ4 enables several safety and autonomous functions that were difficult for previous generations: The Evolution of EyeQ - Mobileye
Deep Learning Accelerator. Dedicated high-performance AI engine. The main source of horse power for convolutional neural networks. ZF and Mobileye Safety Technology Chosen by Toyota
Mobileye EyeQ4 is an automotive-grade vision processor (SoC) designed by Mobileye and manufactured by STMicroelectronics using 28nm FD-SOI technology. It represents a massive leap in processing power for Advanced Driver Assistance Systems (ADAS) compared to its predecessors. Core Specifications Architecture For academic or evaluation purposes
: 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)
of processing power, which is roughly 10x the capability of the EyeQ3. Efficiency : Consumes approximately
, making it highly energy-efficient relative to its output (only 20% more power than the EyeQ3 for 10x the power). Vision Input : Supports visual input from up to simultaneously at 30fps. Key Capabilities Advanced Detection
: Includes vehicle detection from any angle, next-generation lane detection, and traffic light detection. Environmental Modeling
: Capable of full environmental modeling and holistic path planning. : Supports Mobileye's Road Experience Management (REM) for crowd-sourced high-definition mapping. Safety Features
: Powers Automated Emergency Braking (AEB), Forward Collision Warning (FCW), and Adaptive Cruise Control (ACC). Review: The "Sweet Spot" for Semi-Autonomous Driving
The EyeQ4 is widely considered the processor that moved ADAS from simple "passive" alerts to "active" semi-autonomous driving. Unmatched Efficiency
: At just 3W, it delivers heavy-duty processing without requiring complex cooling systems, a critical factor for automotive reliability. Massive Scalability
: It was designed to support everything from basic mono-camera systems to complex "Tri-cam" setups found in luxury brands like BMW. Proven Reliability
: Already integrated into over 160 car models from major OEMs like GM, Nissan, and Honda. Generationally Older : While powerful, it has since been surpassed by the EyeQ Ultra
, which offer significantly higher TOPS for Level 4/5 autonomy. Closed System
: Historically, Mobileye chips have been more "black box" systems, though later generations (like EyeQ5) began moving toward more open software platforms. performance against the newer
The Mobileye EyeQ4 is a high-performance vision processor (SoC) designed specifically for advanced driver-assistance systems (ADAS) and autonomous driving. Launched in 2018, it represented a significant jump in performance, offering roughly ten times the processing capability of its predecessor, the EyeQ3. Key Technical Specifications
The EyeQ4 architecture is built for "super-computer" capabilities within a low-power automotive-grade package. Performance: Capable of more than 2.5 Teraflops (2.5 TOPS).
Power Consumption: Extremely efficient, typically consuming only 3 watts.
Manufacturing Process: 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.
Safety Rating: Designed to meet ISO-26262 standards with a safety level of ASIL-B(D).
Camera Support: Can process information from up to 8 cameras simultaneously at 36 frames per second (fps). Architecture & Hardware Cores
The EyeQ4-High variant features a diverse array of 14 computing cores designed to handle specific vision tasks efficiently: Description MIPS CPUs
Four multi-threaded MIPS processor cores (often InterAptiv) for general data management and control. VMP Cores
Six Vector Microcode Processors for dedicated image processing tasks. MPC Cores
Two Multithreaded Processing Cluster cores, more versatile and efficient than standard GPUs for automotive tasks. PMA Cores
Two Programmable Macro Array cores, providing high compute density for fixed-function hardware acceleration. Core Capabilities
The EyeQ4 was engineered to support a "safety cocoon" around the vehicle, enabling features essential for semi-autonomous and autonomous driving: The Evolution of EyeQ - Mobileye
Unlike a general-purpose GPU, the EyeQ4 features fixed-function accelerators that offer massive power savings:
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.
Critical for hardware design. The datasheet specifies strict rail sequencing: