×
Google’s Tensor G4 Chip Focuses on Real-World Performance, Not Benchmarks
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

Google unveils Tensor G4 chip for Pixel 9 series: The tech giant has announced its latest custom-designed processor, focusing on real-world performance improvements and enhanced AI capabilities for its upcoming smartphone lineup.

Prioritizing practical enhancements: Google has positioned the Tensor G4 as its “fastest and most efficient” chip to date, emphasizing optimizations for everyday use cases rather than benchmark performance.

  • The chip is designed to improve multitasking capabilities and app opening efficiency, addressing common user pain points.
  • Google’s approach reflects a shift towards prioritizing tangible user benefits over raw processing power metrics.

AI capabilities take center stage: Collaboration with DeepMind has resulted in a chip optimized for both current and future on-device AI models, significantly boosting the Pixel 9’s artificial intelligence prowess.

  • The Tensor G4 enables Gemini Nano with multimodal capabilities on the Pixel 9, expanding the phone’s AI-driven features.
  • Compared to the Pixel 8 Pro, the new chip boasts a threefold increase in on-device AI processing power.

Connectivity and emergency features: The Tensor G4 incorporates advancements in cellular connectivity and introduces new safety-oriented capabilities.

  • A new Exynos 5400 modem is integrated into the chip, promising improved power efficiency for cellular communications.
  • The chip enables the new Satellite SOS feature on the Pixel 9, enhancing emergency communication capabilities in areas without cellular coverage.

Google’s chip design philosophy: The company’s approach to processor development focuses on tailoring the chip to Pixel-specific requirements rather than competing directly with other manufacturers on benchmark scores.

  • This strategy allows Google to optimize the chip for its unique software and AI features, potentially offering a more cohesive user experience.
  • The focus on real-world performance aligns with Google’s broader goal of creating devices that excel in practical, everyday scenarios.

Future developments: While the Tensor G4 represents an incremental improvement, Google has more ambitious plans for its chip design efforts in the near future.

  • The upcoming Tensor G5, expected next year, is anticipated to be Google’s first fully custom chip design.
  • Production of the Tensor G5 is reportedly moving to TSMC, a leading semiconductor manufacturer, potentially signaling a significant leap in performance and capabilities.

Broader implications for the smartphone industry: Google’s focus on AI and real-world performance with the Tensor G4 could influence industry trends and consumer expectations.

  • As AI capabilities become increasingly central to smartphone functionality, other manufacturers may follow Google’s lead in optimizing chips for on-device AI processing.
  • The emphasis on practical improvements over benchmark scores could shift how consumers and reviewers evaluate smartphone performance, potentially leading to more nuanced assessments of device capabilities.
Google focused on real improvements and AI for Pixel 9's Tensor G4 chip, not benchmarks

Recent News

AI agents and the rise of Hybrid Organizations

Meta makes its improved AI image generator free to use while adding visible watermarks and daily limits to prevent misuse.

Adobe partnership brings AI creativity tools to Box’s content management platform

Box users can now access Adobe's AI-powered editing tools directly within their secure storage environment, eliminating the need to download files or switch between platforms.

Nvidia’s new ACE platform aims to bring more AI to games, but not everyone’s sold

Gaming companies are racing to integrate AI features into mainstream titles, but high hardware requirements and artificial interactions may limit near-term adoption.