Quick Answer
The Google Tensor G3 is the successor to the original Google Tensor chip. The G3 generally offers improved CPU and GPU performance, a more advanced AI and machine learning processing unit (TPU), and supports newer camera and display features found in later Pixel phone models. Both chips are designed to power Google’s Pixel smartphones with a focus on AI-driven capabilities.
Google Tensor G3 vs Google Tensor: Full Comparison
Introduction
When evaluating Google’s Pixel smartphones, the system-on-a-chip (SoC) is a central component that defines the user experience. Google transitioned from using third-party processors to developing its own Tensor chips, aiming to better integrate hardware with its software and AI ambitions. This comparison examines the differences between the first-generation Google Tensor and its successor, the Tensor G3. Understanding the evolution between these two chips helps clarify the performance, feature, and efficiency improvements in newer Pixel devices.
Performance and Architecture
The core architecture of the two chips represents a significant step in Google’s in-house design philosophy.
- Google Tensor: Featured a 5nm manufacturing process with a CPU configuration often described as 2+2+4 (two high-performance Cortex-X1 cores, two mid-performance Cortex-A76 cores, and four efficiency Cortex-A55 cores). This unconventional setup prioritized AI and machine learning tasks over traditional peak CPU performance.
- Google Tensor G3: Moved to an improved 4nm process. Its CPU uses a more modern 1+4+4 configuration (one ultra-high-performance Cortex-X3 core, four mid-performance Cortex-A715 cores, and four efficiency Cortex-A510 cores). This shift typically results in better overall CPU performance and power efficiency.
- GPU: The Tensor G3 incorporates an ARM Mali-G715 GPU, which is generally more powerful and efficient than the Mali-G78 found in the first Tensor. This translates to better graphics performance for gaming and other visual tasks.
AI, Machine Learning, and the Tensor Processing Unit (TPU)
Both chips are built around a custom Tensor Processing Unit (TPU), but the G3’s is more advanced.
- Original Tensor TPU: Enabled on-device features like Live Translate, Now Playing, and advanced computational photography (e.g., Magic Eraser, Face Unblur).
- Tensor G3 TPU: Features a next-generation design with higher computational power. This enables more complex and faster AI processing, supporting newer features like Audio Magic Eraser, Best Take, and Video Boost. It also improves the speed and accuracy of existing AI features.
Camera and Imaging Capabilities
The image signal processor (ISP) is crucial for camera performance. While both chips work with Google’s computational photography algorithms, the G3’s ISP is more capable.
- Google Tensor: Powered advanced photography features like Real Tone and frequent Night Sight improvements. It handled HDR+ processing efficiently.
- Google Tensor G3: Supports higher-resolution sensors and more concurrent data streams. This allows for features like 10-bit HDR video recording, improved ultrawide lens correction, and the sophisticated post-processing required for cloud-based features like Video Boost.
Connectivity and Other Features
Both chips integrate modern connectivity, but the G3 includes updated components.
- Modem: The original Tensor used the Exynos 5123 modem. The Tensor G3 uses the newer Exynos 5300 modem, which typically offers improved power efficiency and support for more 5G bands.
- Security: Both feature the Titan M2 security co-processor for hardware-level security. The G3 is often paired with newer versions of Android that receive longer update commitments.
- AV1 Decoding: The Tensor G3 adds hardware-accelerated AV1 decoding, which allows for more efficient streaming of high-quality video from supported services.
Comparison Table: Google Tensor vs Tensor G3
| Feature | Google Tensor | Google Tensor G3 |
|---|---|---|
| Manufacturing Process | 5nm | 4nm |
| CPU Architecture | 2x Cortex-X1, 2x Cortex-A76, 4x Cortex-A55 | 1x Cortex-X3, 4x Cortex-A715, 4x Cortex-A510 |
| GPU | ARM Mali-G78 MP20 | ARM Mali-G715 |
| AI / TPU | Custom Google TPU (1st Gen) | Next-Gen Custom Google TPU |
| Key AI Features | Live Translate, Magic Eraser, Face Unblur | Audio Magic Eraser, Best Take, Video Boost |
| ISP & Imaging | Supports advanced computational photography | Enhanced ISP for 10-bit HDR video, higher-res sensors |
| Modem | Exynos 5123 (integrated) | Exynos 5300 (integrated) |
| AV1 Decoding | No | Yes, hardware-accelerated |
| Security | Titan M2 security chip | Titan M2 security chip |
| Typical Device | Pixel 6, Pixel 6 Pro, Pixel 6a, Pixel Fold | Pixel 8, Pixel 8 Pro, Pixel 8a |
Frequently Asked Questions (FAQ)
What is the main difference between Google Tensor and Tensor G3?
The main differences lie in the updated CPU/GPU architecture for better performance, a more powerful next-generation Tensor Processing Unit (TPU) for advanced AI tasks, and an enhanced image signal processor (ISP) for newer camera features. The G3 is also built on a more efficient 4nm manufacturing process.
Does the Tensor G3 have better battery life than the original Tensor?
Battery life depends on many factors, including the phone’s display, battery capacity, and software optimization. However, the Tensor G3’s move to a 4nm process and more efficient CPU cores generally contributes to improved power efficiency, which can positively impact battery life under similar usage conditions.
Are AI features from Tensor G3 phones available on original Tensor phones?
Some core AI features, like Live Translate and Magic Eraser, are available on both. However, more computationally intensive features introduced with the G3, such as Audio Magic Eraser, Best Take, and Video Boost, typically require the hardware capabilities of the newer chip and are not available on devices with the original Tensor.
Which chip is better for gaming, Tensor or Tensor G3?
The Tensor G3, with its more modern ARM Mali-G715 GPU and improved CPU, generally provides better graphics performance and sustained performance for gaming compared to the original Tensor’s Mali-G78 GPU.
Final Thoughts
The Google Tensor G3 represents a logical and measurable evolution from the first-generation Google Tensor. It builds upon the original’s AI-centric foundation with a more balanced and powerful CPU/GPU design, a significantly more capable TPU, and support for cutting-edge camera and display technologies. The original Tensor established Google’s in-house chip design direction, while the G3 refines and advances it. The choice between devices powered by these chips often comes down to the specific AI features, performance level, and overall device package that aligns with a user’s priorities, as both are designed to deliver a deeply integrated Android experience.