Eyeq4 Datasheet May 2026
The datasheet reveals a heterogeneous computing architecture designed for low power and high throughput. Here are the major architectural components:
"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."
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
Inside the EyeQ4: The "Supercomputer" Driving Your Next Car Mobileye EyeQ4
isn't just another chip; it's the silicon brain that moved Advanced Driver Assistance Systems (ADAS) from simple warnings to near-autonomous "safety cocoons". Launched in 2018, this System-on-Chip (SoC) provides a staggering 10x more processing power
than its predecessor, the EyeQ3, while keeping power consumption remarkably low. eyeq4 datasheet
Here is a deep dive into the technical specifications and capabilities that make the a landmark in automotive technology. Technical Specifications: The Power of Efficiency is manufactured using 28nm Fully Depleted Silicon On Insulator (FD-SOI) technology by STMicroelectronics
. This specialized manufacturing process is what allows it to deliver "super-computer" performance within a tiny power envelope. Computational Performance: 2.5 Teraflops (trillions of operations per second). Power Consumption: Approximately , which is less than many standard mobile phone processors. Architecture: A heterogeneous mix of cores designed for specific tasks: Four multi-threaded MIPS cores. VMP (Vector Microcode Processors):
Six cores for image processing and integral types used in computer vision. MPC (Multi-threaded Processing Cluster):
Two cores more versatile than GPUs and more efficient than CPUs. PMA (Programmable Macro Array):
Two cores providing high compute density for dense computer vision algorithms. Supports dual 1.6GHz, 32-bit LPDDR4 SDRAM interfaces. Connectivity:
Includes a 1Gb Ethernet port, multiple CAN ports (>1Mbps), UART, and I2C interfaces. Safety Rating: Designed according to ISO-26262 to provide safety levels. Advanced ADAS Capabilities What does all that silicon power actually do? The is designed to process information from up to eight cameras simultaneously
at 36 frames per second. This allows it to support sophisticated features that were previously impossible for a single chip: ZF and Mobileye Safety Technology Chosen by Toyota
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:
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 "The EyeQ4 enables simultaneous processing of up to
(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?
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. ASIL-D capable system with external components
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.
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.
| Part Number | Description | |------------------|------------------------------------| | EYQ4-8C2-1 | EyeQ4, 8GB LPDDR4, industrial temp | | EYQ4-4C1-A | EyeQ4, 4GB LPDDR4, automotive temp | (Note: Check official pricing/ordering with Intel/Mobileye representatives)
