For years, the Google Pixel lineup has been hailed as the standard-bearer for Android software, camera performance, and AI innovation.
With the introduction of the Pixel 6 series, Google took a bold leap when it decided to design its own silicon, but the Tensor chip is shaping up to be a classic case of a good idea with flawed execution.
Looking at the best of Apple, Qualcomm, and MediaTek, it’s clear that Tensor has fallen short when it comes to fundamental tasks like energy efficiency and raw graphical power.
The uncomfortable truth for Google is this: The very feature meant to elevate the Pixel is now the central reason the lineup feels like it’s playing catch-up.
The performance and efficiency deficit
I think it’s time we stop being polite about the Tensor chip’s biggest flaw: its inability to deliver the sustained performance and battery efficiency expected of a modern flagship device.
Make no mistake, I’m not talking about benchmark numbers, where Tensor lags behind. I’m talking about the real-world frustration that holds the Pixel experience back.
When I lay my Pixel down next to a comparable iPhone or a top-tier Snapdragon phone, I feel like I’m running an engine from a few years ago.
In raw tests, my Pixel often gets smoked on benchmarks that prove that the CPU and GPU don’t have the horsepower to compete.
For the average user, this means that while day-to-day scrolling is fine, the moment I try to do anything intensive (like recording a 4K video for 20 minutes), the phone trips up.
The single most annoying issue I face is the heating and throttling. I have had my phone start to get uncomfortably warm just using GPS navigation in the car for a long trip, or after only fifteen minutes of recording 4K video.
That heat forces the chip to throttle to protect itself. This means that when I need peak performance the most (like during a long gaming session or rapid-fire photo editing), the Pixel backs off and leaves me with a laggy experience while competitors maintain their speed.
I have had to completely adjust my expectations for battery life because of Tensor’s power inefficiency.
While Google has made improvements over the generations, my Pixel still struggles with power drain, especially when I’m on mobile data.
Tensor goes against Google’s software update policy
This is where Google’s strategy looks less like a long-term vision and more like a massive gap in logic.
The moment Google announced seven years of software support for the Pixel series, I cheered. It was a huge, pro-consumer move that finally matched Apple’s longevity.
But then I looked at the Tensor chip inside, and a question arose: Will this hardware actually be usable beyond 2030?
We know today’s Tensor chips are already playing catch-up on day one. They are generally slower in raw performance, less power-efficient, and struggle with heat than their competitors.
Fast-forward to seven years, and every future OS update will demand more memory for new features, graphical power for complex UIs, and more processing muscle for the next generation of generative AI that won’t just run on the specialized TPU, but also on the CPU cores.
The promise of seven years of updates is only valuable if the phone remains a joy to use. Overall, Google gave me the update policy I always wanted, but they chained it to the silicon that is least likely to survive the journey.
Google’s engineering decisions and trade-offs
I have to acknowledge where Tensor truly shines: exclusive AI features. This is Google’s entire justification for making the chip, and in a few areas, it pays off.
The default Tensor Processing Unit (TPU) is optimized for machine learning models and unlocks features like Magic Eraser, Photo Unblur, advanced HDR processing, Call Screening, and more.
But this focus is where the problem starts. Google clearly traded general-purpose raw power for that specialized AI capability.
Tensor chips consistently use older or less-powerful ARM CPU cores compared to what Qualcomm puts in its flagship Snapdragon chips the same year.
Similarly, the GPU performance lags significantly, sometimes by as much as 40% to 50% in benchmarks.
This isn’t nitpicking; it translates to longer app load times for demanding games and visibly worse performance.
For years, countless others and I pointed the finger at the manufacturing partner, Samsung Foundry. Whole fabrication nodes were widely considered to be less power-efficient than those of TSMC (the company that makes Apple’s and most flagship Snapdragon chips).
Google finally switched to TSMC for Tensor G5, but the crushing reality is that the improvement was marginal, not revolutionary. It’s clear that the problem isn’t just the factory; it’s the design.
Far from pixel-perfect
When we look back at the 10th generation of Pixel devices, the narrative won’t be about the revolutionary camera, the fantastic Pixel UI, or the class-leading software update policy; it will be about the chip that prevented true greatness.
While Google built a foundation for smarter AI processing, it eventually created a fundamental weakness that drags down every other aspect of the phone.
The next generation of Pixel hardware (Pixel 11 series) must either see a massive leap in Tensor’s performance and efficiency or a change in Google’s CPU strategy, because the current status quo is simply holding a great phone back.
