EyeQ®

The System-on-Chip for Automotive Applications

Mobileye’s proven leadership is based on our EyeQ® System-on-Chip. More than 30 vehicle manufacturers have chosen EyeQ for its ability to support complex and computationally intense vision tasks, while meeting optimal, ambitious power-performance-cost targets.

EyeQ® is the brain behind everything Mobileye does – from driver-assistance to self-driving technologies. It’s a highly efficient, scalable, and proven SoC that is driving the mobility revolution.

20 Years,
100 Million Vehicles
on the Road

Efficiency through
Unique Architecture of
Diversified Accelerators

One Automotive-Grade
SoC Family, Many
Mobility Solutions

20 Years, 100 Million Vehicles on the Road

In over 20 years of technological advancement, EyeQ has emerged as the trusted solution for processing advanced mobility technologies.

100M+ EyeQs shipped
to date

300+ Models on the market
incorporate EyeQ

30+ Automakers place
their trust in EyeQ

7 Generations
of EyeQ

2020 75 Million 2019 60 Million 2015 10 Million 2007 First EyeQ 2012 1 Million 2021 100 Million
2020 75 Million 2019 60 Million 2015 10 Million 2007 First EyeQ 2012 1 Million 2021 100 Million

Industry Firsts for Over a Decade

VOLVO

EyeQ1

2007 Camera/Radar ACC
GM, BMW

EyeQ2

2011 Camera-only FCW
AUDI

EyeQ3

2014 Camera-only AEB
NISSAN

EyeQ3

2018 Camera-only Hands-free Driving
HONDA

EyeQ4

2019 Industry First 100° Camera
GEELY

EyeQ5

2021 Mobileye SuperVision™ Launch
VOLVO

EyeQ2

2010 Pedestrian AEB
BMW

EyeQ2

2013 Camera-only ACC
TESLA

EyeQ3

2015 Highway Autopilot
BMW

EyeQ4

2018 REM™
Mapping Harvesting
Launch
BMW

EyeQ5

2021 Industry First 120° 8MP Camera

Efficiency through Unique Architecture of Diversified Accelerators

By using highly efficient hardware accelerator architecture, EyeQ achieves state-of-the-art computer vision performance within a low-power envelope.

Heterogeneous Computing

Using the most suitable core for each task

From general-purpose CPU cores to high compute density accelerators, including deep learning neural networks.

Scalable Architecture

Utilizing the right mixture of accelerators to match the different EyeQ models’ needs.

Deep Learning Performance / Compute Density

XNN

Deep Learning Accelerator

Dedicated high-performance AI engine. The main source of horsepower for convolutional neural network.
PMA

Programmable Macro Array

A CGRA dataflow machine. Its unique architecture delivers outstanding performance for dense compute-vision and deep-learning algorithms that are unachievable in classic DSP architecture.
VMP

Vector Microcode Processor

A wide vector (VLIW and SIMD) machine with exceptional performance for short integral types common in computer-vision and deep-learning algorithms.
MPC

Multi-threaded Processor Cluster

More versatile than a GPU, and with higher efficiency than any CPU
CPU

General-Purpose Compute

Designing EyeQ’s hardware architecture with its intended software needs in mind, along with these heterogeneous accelerators, enables EyeQ to provide unparalleled performance, while requiring fewer TOPS and consuming less power.

Ultimate
Cost-Performance Ratio

EyeQ in Action

Watch how the highly efficient, scalable, and proven technology of EyeQ enables our developmental self-driving vehicle to operate seamlessly in real-world traffic.

Full support for co-hosting third-party applications

The newest generations of EyeQ support open compute by offering a complete SDK package, and OpenCL environment and TensorFlow support, allowing customers to differentiate their solutions by deploying their algorithms on EyeQ. In addition, EyeQ supports co-hosting third-party applications, removing the need for additional processors and reducing the burden on the MCU.

One Automotive-Grade SoC, Many Mobility Solutions

Tailored specifically to deliver trusted mobility solutions, EyeQ is the only scalable automotive-grade SoC that can truly address the needs of both the driver-assist and autonomous-driving markets.

EyeQ Portfolio

One family of SoCs supports a full spectrum of mobility solutions: from a windshield-mounted, low-voltage front-camera driver-assist system, through a surround vision premium driver-assist solution, to processing of dozens of sensors, including high-resolution cameras, radars, and LiDARs for a full self-driving system.