Google Tensor

Google Tensor: Deep Integration of AI and Performance Balance in Your Pocket

April 2025

Since the debut of the first generation of Google Tensor, the company has made significant strides in the development of its own mobile processors. Today's Tensor is not just a SoC (system on chip) but a platform that combines cutting-edge AI technologies, energy efficiency, and optimization for the Google ecosystem. In this article, we will explore what makes this processor stand out, how it performs in real-world scenarios, and who should pay attention to it.

1. Architecture and Technology Process: Intelligent Optimization

Google Tensor is built on a 5nm technology process, which remains relevant for balancing performance and energy consumption. Its architecture includes:

- 8 CPU cores: A combination of 2 high-performance Cortex-X2 cores operating at up to 2.8 GHz, 2 Cortex-A78 cores (2.4 GHz), and 4 energy-efficient Cortex-A55 cores (1.8 GHz). This configuration allows for task distribution among cores while minimizing heat generation.

- Mali-G78 MP20 GPU: With 20 compute units, it provides high graphical power, which is critical for gaming and rendering.

- 3 MB L2 cache: Accelerates data processing, reducing latency when working with memory.

A standout feature of Tensor is the integration of a TPU (Tensor Processing Unit), a specialized block for machine learning. It is responsible for instant photo processing, speech recognition in Google Assistant, and system adaptation to user habits.

2. Performance in Real Tasks: Where Does It Shine?

- Gaming: In Genshin Impact or Call of Duty: Mobile, the Tensor consistently demonstrates 60 FPS on high settings. The Mali-G78 MP20 handles the load well, but during extended sessions, temperatures can reach up to 42°C. The built-in cooling system in Pixel smartphones compensates for this, avoiding throttling.

- Multimedia: Support for AV1 codecs and HDR10+ makes 4K content viewing smooth, while the audio processor enhances sound quality in speakers.

- AI Applications: Apps like Adobe Lightroom Mobile or Prisma process filters 30% faster than on Snapdragon 8 Gen 3, thanks to the TPU.

- Energy Consumption: With a TDP of 5.6W, a smartphone with Tensor (for example, the Pixel 9 Pro) lasts up to 8 hours under active use (gaming, streaming). In daily tasks (social media, music), it can last up to 1.5 days.

3. Built-in Modules: The Connectivity of the Future

- Modem: The integrated 5G modem supports mmWave and Sub-6 GHz, providing speeds of up to 7 Gbps. In areas with weak signals, an AI algorithm activates to redistribute frequencies for a stable connection.

- Wi-Fi 7 and Bluetooth 5.4: Allow connections to networks at speeds up to 40 Gbps (Wi-Fi) and the ability to synchronize up to 5 devices simultaneously without lag (Bluetooth).

- Navigation: Support for GPS, GLONASS, Galileo, and BeiDou ensures positioning accuracy up to 10 cm in applications like Google Maps or Strava.

4. Comparison with Competitors: Who Are the Leaders?

- Snapdragon 8 Gen 4 (2025): Higher peak performance in single-threaded tasks (Geekbench 6 Single Core: ~1450), but Tensor excels in multi-threading (3234 vs. 3100) and AI operations.

- Apple A18 Bionic: A leader in energy efficiency and Single Core (Geekbench 6: 1580), but limited compatibility with Android devices and a higher price (smartphones starting at $1100).

- MediaTek Dimensity 9300: More affordable (devices starting at $600), but lacks optimization for cameras and long-term support.

AnTuTu 10: Tensor scores 813,782 points, placing it among the top 5 flagship processors of 2025.

5. Use Cases: Who Is Tensor Made For?

- Gaming: Suitable for most mobile games, but not for professional esports disciplines, where extreme FPS and minimal heat are crucial.

- Daily Tasks: Instant app launches, smooth animations, and multitasking capabilities (for instance, streaming on Discord while gaming).

- Photography and Video: The best choice for shooting in challenging conditions. Night shots on the Pixel 9 Pro preserve detail, and stabilization in 8K video is comparable to action cameras.

6. Pros and Cons: An Honest Assessment

Pros:

- Deep integration with Google services (Assistant, Photos, Translate).

- Class-leading photo processing thanks to AI.

- Support for Android updates for up to 5 years.

Cons:

- Heating during prolonged gaming sessions.

- Lack of hardware ray tracing in the GPU.

- Price of devices (Pixel 9 Pro starting at $999).

7. Practical Tips: How to Choose a Smartphone with Tensor?

- Cooling: Look for models with vapor chambers (e.g., Pixel 9 Pro).

- RAM: 12 GB is optimal for multitasking.

- Display: An AMOLED screen with a 120Hz refresh rate will unlock the GPU’s potential.

- Price: Devices with Tensor start at $700 (Pixel 9a), but flagships ($900–$1100) offer a full range of features.

8. Final Conclusion: The Ideal Choice for Google Enthusiasts

Google Tensor is a great fit for those who value:

- Camera capabilities of professional cameras — AI algorithms do wonders.

- Long-term support — 5 years of guaranteed updates.

- Harmony of hardware and software — no lag in the interface.

If you're looking for a smartphone that "just works," with excellent battery life and camera quality, Tensor is your choice. However, hardcore gamers or those seeking maximum performance for the same price should consider Snapdragon 8 Gen 4 or gaming devices based on Dimensity 9300.

Prices as of April 2025:

- Google Pixel 9a: $699–$749

- Google Pixel 9 Pro: $999–$1099

- Nothing Phone (4) with Google Tensor: $799

Tensor continues to prove that the future of mobile processors lies in deep AI integration, rather than just raw power.