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Mobileye EyeQ6 High
Autonomous Driving

Mobileye EyeQ6 High

The Mobileye EyeQ6 High (EyeQ6H) is a high-performance system-on-chip designed for premium advanced driver-assistance systems (ADAS) and partial autonomous driving, delivering 34 deep-learning TOPS on a 7nm process to handle multi-sensor perception and fusion in a single device.

Function
Vision + sensor fusion + REM mapping
Process Node
7nm
Target Level
L2+ / L2++ (scales to L3/L4 paired)
AI Performance
34 DL TOPS (INT8)

Where to buy in Singapore

Automotive-grade sensing and compute is supplied to vehicle manufacturers under design-win programmes, in production volumes and with multi-year validation — it is not sold as individual units through resellers. Approach the manufacturer directly if you are specifying for a production programme.

We do not supply this product. It already has strong distribution in Singapore, and buying locally gets you local warranty and service that we could not match. We keep the page because the comparison is still useful.

Highlights

  • ✓Single-chip integration of up to 11 sensors
  • ✓High compute efficiency (34 TOPS at low power)
  • ✓Proven EyeQ platform shipped at massive scale
  • ✓Scales from L2+ to L4 by pairing chips

Overview

Overview

The Mobileye EyeQ6 High is a centralized system-on-chip (SoC) purpose-built for premium driver-assistance and partial autonomous driving applications. It consolidates computer vision processing, multi-sensor fusion, and Mobileye's REM (Road Experience Management) crowdsourced mapping into a single piece of silicon — an architectural approach that reduces system complexity compared to multi-chip designs.

How It Works

At its core, the EyeQ6H runs deep-learning inference workloads that interpret data from the vehicle's sensor array in real time. A single chip can ingest and process inputs from up to 11 cameras and radars simultaneously, enabling the perception pipelines needed for lane-keeping, object detection, path planning, and situational awareness tasks associated with L2+ and partial-autonomy driving.

The chip is manufactured on a 7nm process node, which enables high computational density within a constrained power envelope. It delivers 34 deep-learning TOPS — roughly triple the compute of the prior-generation EyeQ5H — while consuming only about 25% more power, reflecting the efficiency gains of the newer process node.

Scalability and Deployment

The EyeQ6H is the compute foundation for several of Mobileye's own driving software stacks:

  • Mobileye SuperVision — a hands-on L2+ system using surround-view cameras for highway and urban driving assistance
  • Mobileye Chauffeur — targeting hands-free L2++ operation, supported by pairing two EyeQ6H chips for increased compute headroom
  • Mobileye Drive — Mobileye's platform aimed at L3 and L4 autonomy levels

Pairing two EyeQ6H chips in a dual configuration is the intended path for next-generation hands-free SuperVision deployments and can scale toward L3 and L4 system architectures.

Who Uses It and Why

The EyeQ6H is targeted at automotive OEMs and Tier-1 suppliers integrating advanced driver-assistance features into production vehicles. Mobileye has a long track record of shipping EyeQ-series silicon across tens of millions of vehicles, and the EyeQ6H is in production availability, making it a proven compute platform rather than a research prototype. Engineers and system architects working on centralized ADAS domain controllers use the EyeQ6H for its combination of high inference throughput, multi-sensor input capacity, and compatibility with Mobileye's broader software and mapping ecosystem.

Specifications

FunctionVision + sensor fusion + REM mapping
Process Node7nm
Target LevelL2+ / L2++ (scales to L3/L4 paired)
AI Performance34 DL TOPS (INT8)
Sensor CapacityUp to 11 cameras/radars per chip
Compute vs EyeQ5Habout 3x compute, ~25% more power

Applications

Premium L2+/L2++ driver assistanceHands-free highway and urban assisted drivingMulti-camera surround ADAS sensor fusionScalable path toward L3/L4 with dual-chip config

Industries

Autonomous VehiclesPassenger EVsADAS Suppliers
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