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
: 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 eyeq4 datasheet
: 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
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. Mobileye EyeQ4 is an automotive-grade vision processor (SoC)
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 vision processor designed specifically for Advanced Driver Assistance Systems (ADAS) and semi-autonomous driving. Launched in 2018, it represented a significant leap in computational efficiency, providing approximately 10 times the processing power of its predecessor, the EyeQ3, while maintaining a very low power envelope. Core Technical Specifications
The EyeQ4 is built on a heterogeneous architecture that utilizes specialized cores for different computer vision tasks to maximize efficiency.
Process Technology: Manufactured using STMicroelectronics' 28nm FD-SOI (Fully Depleted Silicon On Insulator) process, which is optimized for low power consumption.
Performance: Capable of reaching 2.5 Tera Operations Per Second (TOPS) (or 2.5 TFLOPS).
Power Consumption: Typically draws only 3 Watts, making it suitable for windshield-mounted camera systems without specialized cooling.
Input Capability: Supports simultaneous processing for up to 8 cameras at 36 frames per second (fps). Processor Architecture The EyeQ4 integrates several types of programmable cores: The Evolution of EyeQ
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 Processing Power : The EyeQ4 features a heterogeneous,
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
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 datasheet reveals a heterogeneous computing architecture designed for low power and high throughput. Here are the major architectural components:
| Function | Benefit | |----------|---------| | 5–8 camera fusion | Reduces blind spots, enables 360° perception | | Hardware CNN engine | Runs semantic segmentation + object detection without choking the CPU | | Internal ISP + HDR | Works with 1 MP–8 MP sensors without external ISP |
Here is the datasheet text for the EyeQ4 (by Mobileye, an Intel company). This is a technical summary based on public and industry-standard documentation.