Quick Answer
The Google Tensor G4 is the successor to the Google Tensor G3, offering iterative improvements in CPU and GPU performance, enhanced on-device AI capabilities, and a more advanced manufacturing process. The G3, while a capable chip, represents the previous generation of Google’s custom silicon, with the G4 generally providing more efficient and powerful performance for AI-driven tasks.
Google Tensor G4 vs Google Tensor G3: Full Comparison
Introduction
Understanding the progression of a company’s custom silicon is key to evaluating the performance and features of its devices. This comparison between the Google Tensor G4 and its predecessor, the Tensor G3, breaks down the technical evolution. We will examine the differences in core architecture, AI and machine learning performance, graphics capabilities, and manufacturing process to provide a clear picture of what each chipset offers.
Performance & CPU Architecture
The core design philosophy between these two chips shows a focus on refinement rather than a complete overhaul.
- Tensor G3: Featured a 9-core CPU configuration (1+4+4) built on Samsung’s 4nm process. Its cluster was designed with a focus on AI and machine learning workloads, balancing different core types for efficiency and performance.
- Tensor G4: Moves to an improved 4nm process, typically from Samsung. It retains a similar core count philosophy but with updated CPU cores (like Cortex-X4, A720, A520) that offer better performance per watt. This generally translates to smoother multitasking and slightly better sustained performance under load.
The G4’s architectural updates aim for greater efficiency, which can contribute to better battery life and thermal management compared to the G3.
AI, Machine Learning & TPU
This is the central focus of Google’s Tensor chips, where the most significant generational leaps are often found.
- Tensor G3: Introduced a more powerful Tensor Processing Unit (TPU) than its predecessors, enabling advanced on-device features like Magic Eraser, Photo Unblur, and Call Assist in real-time.
- Tensor G4: Incorporates a next-generation TPU with improved performance and efficiency. It is designed to handle more complex AI models on-device, enabling faster and more accurate features for photography, speech recognition, and security. This can result in more responsive AI-powered capabilities in daily use.
The G4 is engineered to run larger and more sophisticated machine learning models directly on the device, enhancing privacy and speed for AI features.
Graphics & Gaming (GPU)
Graphics performance sees a notable step up from one generation to the next.
- Tensor G3: Utilized an ARM Mali-G715 GPU. It provided solid graphics performance for most mobile games and applications, supporting modern graphical APIs.
- Tensor G4: Upgrades to a newer ARM Immortalis-G720 GPU. This GPU typically offers better performance efficiency, higher peak performance, and supports advanced rendering techniques like hardware-accelerated ray tracing. For users, this can mean smoother gameplay at higher graphical settings.
Manufacturing Process & Efficiency
The shift in fabrication technology plays a crucial role in power consumption and heat generation.
- Tensor G3: Manufactured using Samsung’s 4LPP+ (4nm) process. While capable, this node was sometimes noted for its power efficiency relative to competing processes.
- Tensor G4: Manufactured on a more advanced 4nm process, often referred to as 4LPP+. This refined process is designed to offer better transistor density and improved power efficiency, which can contribute to longer battery life and reduced thermal throttling during intensive tasks.
Comparison Table: Google Tensor G4 vs Google Tensor G3
| Feature | Google Tensor G3 | Google Tensor G4 |
|---|---|---|
| Manufacturing Process | Samsung 4LPP+ (4nm) | Samsung 4LPP+ (4nm – refined) |
| CPU Architecture | 9-core (1x Cortex-X3, 4x Cortex-A715, 4x Cortex-A510) | 8-core (1x Cortex-X4, 3x Cortex-A720, 4x Cortex-A520) |
| GPU | ARM Mali-G715 | ARM Immortalis-G720 |
| AI Processing Unit | Next-gen Tensor Processing Unit (TPU) | Enhanced next-gen Tensor Processing Unit (TPU) |
| Modem | Exynos Modem 5300 (Integrated) | Exynos Modem 5400 (Integrated) |
| Key AI Features | Magic Eraser, Photo Unblur, Call Screen, Live Translate | All G3 features, plus more advanced real-time audio & video processing, improved generative AI models on-device |
| Performance Focus | Balanced performance with strong AI/ML acceleration | Improved efficiency, significantly faster AI/ML, better sustained GPU performance |
Frequently Asked Questions (FAQ)
What is the main difference between the Tensor G4 and G3?
The main differences lie in the upgraded CPU cores (Cortex-X4/A720), a more powerful Immortalis-G720 GPU, and a next-generation TPU for significantly enhanced on-device AI performance and efficiency. The G4 is built on a more refined 4nm manufacturing process.
Does the Tensor G4 have better battery life than the G3?
While battery life depends on many factors including device software and display, the Tensor G4’s more efficient CPU architecture and refined manufacturing process are designed to provide better power efficiency, which can generally contribute to improved battery life under similar usage conditions.
Is the AI performance noticeably better on the Tensor G4?
Yes, the Tensor G4’s enhanced TPU is designed to run larger and more complex AI models directly on the device. This typically results in faster processing for existing AI features (like photo editing tools) and enables new, more advanced real-time AI capabilities.
Which chip is better for gaming, the G3 or G4?
The Tensor G4, with its ARM Immortalis-G720 GPU, generally offers superior graphics performance and supports more advanced rendering techniques like ray tracing. This typically translates to a better gaming experience with higher frame rates and visual fidelity compared to the G3’s Mali-G715 GPU.
Final Thoughts
The Google Tensor G4 represents a logical and focused evolution from the Tensor G3. It builds upon the foundation of strong, AI-centric performance by introducing more modern CPU and GPU cores, a more efficient manufacturing process, and a significantly more capable TPU. The G3 remains a competent chip that powers a robust suite of AI features, but the G4’s improvements are geared towards greater efficiency, faster AI processing, and better sustained performance. The choice between devices using these chips often comes down to valuing the latest AI enhancements and graphical power offered by the newer generation.