Google's Tensor G3 Review: Power, Performance, and Precision
Google’s third-generation mobile chipset – the Google Tensor G3 – powers the Pixel 8 series and represents a significant step in Google’s pursuit of tightly integrated hardware and AI. Debuting in late 2023 with the Pixel 8 and Pixel 8 Pro (read our Pixel 8 Pro review), the Tensor G3 promises improved processing power, better energy efficiency, and new on-device intelligence features. In this review, we examine the power, performance, and precision of the Tensor G3 to see how it stacks up against expectations and rival chips.
The Pixel 8 (pictured) and Pixel 8 Pro are both powered by Google’s Tensor G3 chipset, bringing advanced AI capabilities and robust performance to Google’s flagship phones. digitaltrends.com Co-developed with Samsung, the Tensor G3 is built on a cutting-edge 4-nanometer process for improved efficiencydigitaltrends.com. It packs an unusual nine-core CPU, a revamped GPU, and an upgraded Tensor Processing Unit (TPU) dedicated to machine learning tasks. Below, we break down what’s new and how it performs in real-world scenarios.
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Tensor G3: Overview and Key Specs
Here’s a quick overview of the Tensor G3’s key specifications and features:
- Fabrication: Samsung 4nm process – a jump from Tensor G2’s 5nm, allowing better power efficiency.
- CPU: 9-core (1+4+4) layout – 1× Cortex-X3 prime, 4× Cortex-A715 mid, 4× Cortex-A510 efficient coresdigitaltrends.com. This unique configuration boosts multi-core performance while maintaining efficiency.
- GPU: Arm Mali-G715 Immortalis (7 cores). Offers ~15% better graphics performance than Tensor G2’s GPU. Google enabled 7 out of a possible 10+ GPU cores to curb heat and battery usedigitaltrends.com.
- AI TPU: Next-gen Tensor Processing Unit for on-device AI. Can run 2× more machine learning models locally than the first-gen Tensor (Pixel 6), powering advanced features like AI photo editing and the on-device Bard assistant.
- Photography: Upgraded image processor and DSP. ML algorithms are integrated into the camera pipelinedigitaltrends.com, enabling Live HDR previews and support for the new Ultra HDR image format for richer, more realistic photos.
Note: Tensor G3 works in tandem with the Titan M2 security chip to keep your data safe, and it powers the new Face Unlock system which now meets Android’s highest biometric security levelblog.google.
Power Efficiency and Thermals
One of the biggest improvements in Tensor G3 is power efficiency. Earlier Tensor chips (like the G2 on 5nm) tended to run hot and consume more power. Samsung’s refined 4nm node resolved many of those issues, so the G3 wastes less energy as heatdigitaltrends.com.
In practice, the Pixel 8 series runs much cooler and more consistently now. Even under heavy use, the Pixel 8 Pro only gets mildly warm, never uncomfortably hot. In a sustained stress test, the G3 throttled about 15% to cap internal temps around 40 °C, which is a reasonable result. This improved efficiency also boosts battery life: the Pixel 8 and 8 Pro easily last a full day on a charge, and Google even advertises 24+ hours (up to 72 hours with Extreme Battery Saver) thanks in part to Tensor G3’s optimizations. Google essentially tuned the Tensor G3 for balanced performance rather than maximum power draw – it avoids the extreme heat and battery drain that often come with chasing peak speedsdigitaltrends.com.
CPU Performance
Google’s Tensor G3 has a unique 9-core CPU setup, and while it’s powerful, it isn’t built to top benchmark charts. In fact, it generally scores below the latest flagship rivals – for example, Qualcomm’s Snapdragon 8 Gen 3 can be roughly 60% faster in multi-core Geekbench tests, and Apple’s A17 is even further ahead in single-core performance. Google deliberately uses slightly lower clock speeds and last-gen core designs to prioritize efficiencyandroidauthority.com. On paper the G3 is less potent than those competitors, but the flip side is reduced heat and steadier battery usage.
In everyday use, however, the Tensor G3’s CPU still feels plenty fast. The Pixel 8 is snappy when launching apps, multitasking, and scrolling – there’s no lag in typical tasks. Only in very heavy workloads (like high-end 3D gaming or exporting 4K video) will you notice that it’s a bit slower than the absolute top-tier chips. And because Google dialed back the clocks to avoid heat, the Tensor G3 tends to throttle less over time. It can sustain performance more consistently during long sessions compared to some higher-clocked processors that need to slow down aggressively as they heat upandroidauthority.com. In short, for the vast majority of users, Tensor G3’s CPU provides more than enough performance for a smooth experience.
Graphics and Gaming
The Tensor G3’s graphics are powered by a Mali-G715 GPU (7 cores). However, the Pixel 8 still isn’t a graphics powerhouse on the level of some rivals. In 3D benchmarks, Tensor G3’s GPU scores significantly lower than the latest Adreno GPUs in Snapdragon chips – some tests showed the Snapdragon 8 Gen 3 to be up to 2× faster in graphics processingandroidauthority.com. This means for the most demanding games or 3D apps, the Pixel 8 can’t quite match devices like the Galaxy S24 or iPhone 15 Pro in frame rates or visual effects.
Google clearly didn’t prioritize gaming prowess with Tensor G3 (for instance, it hasn’t enabled the chip’s ray tracing support on Pixel 8)digitaltrends.com. The upside is that GPU-intensive tasks don’t overheat the phone. You can play popular games at high settings and the Pixel 8 stays relatively cool and stable – you just might not get the very highest frame rates possible on competing flagship phones. For most users, the Tensor G3’s GPU performance is perfectly adequate for smooth gaming and graphics, even if it’s not breaking any speed records.
AI and Machine Learning
The AI capabilities of Tensor G3 are where it truly shines. Google equipped this chip with an upgraded TPU that can run far more complex machine learning models on-device than before. This powers many of the Pixel 8’s standout features. For example, Tensor G3 enables advanced computational photography tricks like Magic Editor and Best Take, which let you edit and enhance photos using AI right on the phone. It also allows Live HDR previews in the camera and supports the new Ultra HDR image format, so your photos have richer colors and detail without lag.
The Google Assistant is also smarter thanks to Tensor G3. The Pixel 8 can handle voice dictation and translation on-device faster, and even run Google’s Bard AI chatbot locallydigitaltrends.com. Tasks like voice typing and live translation work almost instantly. The Tensor G3’s machine learning prowess also enables the improved Face Unlock, which now meets Android’s highest biometric security class (so you can use it for payments and banking apps) using just the front camera and AI processingblog.google.
All these AI-driven features illustrate Google’s strategy: Tensor G3 is optimized to deliver precision in user experiences through AI. Things that typically required server-side processing – complex image edits, real-time language understanding – are handled on the device instantly. Google’s tight integration of hardware and software ensures the Pixel 8 fully leverages the G3’s AI potentialandroidauthority.com, giving it a clear edge in “smart” features.
Tensor G3 in the Pixel Lineup
The Tensor G3 isn’t limited to just Google’s priciest phone – it also powers the more affordable Pixel 8a. That means even a ~$500 device gets the same core processor as the Pixel 8 and 8 Proandroidauthority.com. All Pixel 8-series models therefore deliver the Tensor G3 experience consistently across the lineup.
Another benefit of Google designing its own silicon is long-term support. The Pixel 8 series will receive 7 years of software updatesblog.google – an unusually long lifespan for an Android phone. This means your Tensor G3-powered Pixel will keep getting new features and security updates well into the future. Google clearly has confidence that the G3’s mix of power and AI smarts will keep the Pixel 8 feeling fresh for years. (If you’re upgrading from a previous model, see our Google Pixel 8 Pro vs. iPhone 15 Pro comparison for details.)
Conclusion
Overall, Tensor G3 is not the fastest mobile chip out there, but it might be the smartest. Google deliberately traded some raw speed for cooler operation and on-device AI prowess – and for most users, that’s a winning trade-off. The Pixel 8 series gains features like stunning Night Sight photography and advanced voice assistance that are only possible because of Tensor’s AI-focused design. And with seven years of updates promised, Google expects the G3 to remain capable for the long haul. If you’re eyeing a Pixel 8 or 8 Pro, don’t be deterred by benchmark comparisonsdigitaltrends.com – the Tensor G3 delivers power, performance, and precision where it counts, making the Pixel experience uniquely excellent.
FAQs
Is the Tensor G3 better than Snapdragon?
Is the Google Tensor G3 a good processor?
Which is better, Snapdragon or Tensor?
What are the benefits of Tensor G3?
• Advanced AI and machine learning features for Pixel-exclusive tools.
• Superior computational photography (Night Sight, Real Tone, Magic Editor).
• Real-time language translation and transcription.
• Long-term software support from Google (7 years on Pixel 8 series).
• Balanced performance that focuses on user experience rather than raw benchmarks.
Is the Tensor G3 made by Samsung?
Which is better, Tensor G3 or Snapdragon 8 Gen 2?
Which phone has Tensor G3?
Which is better, Google Tensor or Snapdragon 888?
What is the fastest Google processor?
Author: Wiredu Fred – Technology journalist & smartphone analyst with over 10 years of experience.