Skip to content
T

Tensor G3 and G4

Learn more → We couldn't find a website for this product

Description

Google's 2023-2024 custom mobile processors with generative AI capabilities designed specifically for Pixel smartphones

Market positioning

Specialized AI-focused processor for Google's own devices

Target audience

Google Pixel smartphone users and AI-focused mobile applications

Use cases

Custom mobile processors for Google Pixel smartphones with advanced AI and computational photography capabilities

Company information

Company size

Large Enterprise (100,000+ employees)

Revenue

$280+ billion annually

Scale

Global

Number of users

Millions of Google Pixel device users globally

Features

AI photography and computational features, Custom neural processing unit, Deep Android integration, Generative AI optimization, On-device machine learning, Voice and language processing

Pricing

Pricing modelInternal use for Google Pixel devices
Starting priceIntegrated into Pixel devices starting at $399
Billing periodN/A - Integrated into device pricing

Rating

4.2/5

No Trustpilot link available

Pros and cons

Based on: (AI summary)

Pros

  • AI-first design philosophy
  • Deep integration with Google services
  • Advanced machine learning capabilities
  • Unique AI features and applications

Cons

  • Limited to Google Pixel devices only
  • Smaller market share
  • Performance gaps in traditional benchmarks
  • Limited third-party adoption

Feature Comparison

Top features across 8 competitors (most common first)

Feature Samsung Exy…A18 with iO…Kinaxis Rap…Dimensity 9…Apple Baseb…Tensor G3 a…Exynos 2400MediaTek Sm…
Generative AI capabilities
5G connectivity
Advanced manufacturing process
2nm GAA process technology
Designed for flagship smartphone performance
Volume production planned for second half of 2025
Dedicated neural processors
Image and video generation
iOS 18 integration
On-device LLM support
Personal assistance AI
Real-time translation
Concurrent supply chain planning
High integrity execution
Sales and operations planning (S&OP)
Supply chain disruption management
What-if scenario modeling
Cost-effective AI implementation
Generative AI support
On-device neural processing