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I’ve Spent Days Testing the Pixel 10 Pro XL and It’s Quite the Android Phone

From gaming and the camera to new AI skills and the battery, I’ve been putting Google’s new flagship phone through its paces.

I’d already spent a lot of time with the Pixel 10 Pro XL in Paris — including extensively testing its camera — so there was a lot I already liked about it. I’m keen on the design, the display is vibrant and bright enough to use under the midday Paris sunshine and the camera is capable of taking some really great-looking images. 

Now that I have Google’s new flagship phone in my hand I’ve been able to dive deeper, playing games, using the new AI tools and generally finding out what this phone is really like to live with. It’s too early still for a full, rated review, so here I wanted to give some of my initial thoughts and impressions from the time I’ve spent with it.

You can still read my full hands-on article, as well as watch my video above where I put the camera to the test. And if you’re interested in the cheaper base Pixel 10, you can read about that here

So, let’s dive in.


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Capable Tensor G5 processor

I couldn’t really use the phone beyond the camera in my first round of testing so I was excited to finally be able to boot it up and see how it handles. It packs Google’s latest Tensor G5 processor, along with 16GB of RAM. The company has made various boasts about this chip’s performance increases over its predecessors.  

I’m yet to run our usual suite of benchmark tools on the phone — Google seems to block them in the Play Store during testing periods, which is unhelpful — so my observations are more anecdotal. But it certainly seems like a nippy piece of kit. Swiping around the Android 16 interface is swift and lag-free. Apps, including the camera, open quickly. 

It handles gaming well, with Genshin Impact and PUBG playing smoothly at high graphics settings. It also feels faster when generating AI images in Pixel Studio (more on that later). The one area I noticed any kind of slowdown is when shooting 50-megapixel images. When you first open the camera you can take up to three images in quick succession, but then the shutter button becomes inactive for a few seconds while it saves those shots. 

The Pixel 10 Pro XL Goes to Paris: Out of Hundreds of Photos, These Are My Favs

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Burst-firing high resolution shots is arguably a niche use case but it does hint that the processor will still struggle with some demanding tasks. Google’s Tensor chips have never been about straight-line speed though and I don’t expect it to be a rival for Qualcomm’s top-end Snapdragon 8 Elite on benchmark tools. What it does is provide a solid overall experience with enough power for everyday tasks, while also being tailored more toward on-device AI processing. Speaking of which…

Upgraded AI tools

The Pixel 10 range is packed with various new AI tools, while existing ones — like Gemini Advanced — are more capable than ever. The generative AI image creator, Pixel Studio, launched last year on the Pixel 9 range. While it was fun, its images were often a bit rough. The improvement this year is vast, with higher quality images and an overall better understanding of prompts. 

It’ll also generate pictures of people as well as include accurate text within the image, two things it certainly couldn’t do before. There are also various new styles to choose from, including a claymation look, a stained glass style and a traditional Japanese ukiyo-e style that I absolutely love. It’s great fun playing around with the tool, and while for many it might just be a fun novelty, it could also be a genuinely useful tool to help play with ideas for creative projects. 

A few things I did notice about it though: A prompt that simply includes the word «phone» will almost always result in an iPhone. While it can create a near photorealistic rendering of an iPhone, ask the Pixel to create a Pixel phone and it’ll invariably get it wrong. Turns out, Google’s AI is extremely iPhone-focused. I also found it weirdly obsessed with Hasselblad, putting the logo on people’s clothes and putting a Hasselblad camera into scenes without any prompting from me. 

More troubling though is the AI’s lack of representation of people of color. Using generic terms like «man» or «woman» almost always resulted in images of white people, with none of the images created in my whole testing time showing darker skin tones. This isn’t unique to Google’s phones; AI’s racial bias has been notable for many years now, with most chatbots displaying some kind of bias whether overt or otherwise. 

CNET contacted Google for comment on this issue and it responded: «Pixel Studio employs rigorous design, testing, monitoring and safeguards that follow Google-wide policies. Pixel Studio uses the latest state-of-the-art models from Gemini and follows the same safety guidelines that are used by Gemini to mitigate unintended or harmful outcomes and avoid unfair bias. Google is committed to continually evolve our products in the space of responsible AI to ensure fair representation for all.»

The AI extends deeper into the phone, with tools like Magic Cue designed to automatically surface relevant information from you during a conversation, so you don’t have to go searching for it yourself. It’ll scrape information from Gmail, the Google Messages app, Google Calendar, Contacts and Keep Notes, and you’ll need to provide permission for Magic Cue to access your information. 

I’m yet to fully use the tool, but my colleagues have and found it works sometimes — although it seems inconsistent in when it surfaces information. Why have I not used it much? Because it works only with certain Google apps, and I’ve rarely used them before now. I’m mostly an iPhone user, and my social world exists largely in messaging apps like WhatsApp or Instagram messaging. I never even use Apple’s own iMessage. As a result, setting up the Pixel from scratch means not having any existing data for it to pull from, and if like me, you don’t really live in Google’s app ecosystem, then Magic Cue will be of limited use. 

You’ll find other existing AI tools on board like Gemini Live and Circle to Search, along with a new voice recording tool that creates AI soundtracks to play over the top of your recordings. Honestly, I don’t see what the point is. I’ve never felt I needed a «rainy-day blues» vibe playing over a voice memo about an article idea and I don’t think it’s going to transform the way I work. 

Gemini Live now allows you to share your screen to be able to ask questions about what you’re looking at. Sometimes it works, other times it’s weirdly inaccurate. While my app drawer was open I asked it, «Which is the PUBG Mobile app?» and Gemini acknowledged that it could see it, but then inaccurately told me its location and described it as «a desert scene with a vehicle,» when it’s actually a person in a helmet against a bright blue sky. A total failure.

I asked it about several apps (including the calculator) and it got some element wrong every time — either the app icon’s location within the screen or the description of the icon itself. However, when I opened the camera, showed it a SanDisk SSD and asked, «What is this?» it gave me a perfect answer. I would continue to fact-check your AI results. 

Pixel 10 Pro XL cameras tested in Edinburgh

I took hundreds of photos with the Pixel 10 Pro XL in Paris, and I was really pleased with how it captured the exposure and colors on the bright sunny day. In a slightly more overcast Edinburgh, however, I’m not quite as thrilled with the results. I had a few friends come to visit and while doing some filming on the Royal Mile we also decided to hit a few pubs throughout the afternoon and I took the phone along for the ride. 

This shot of this chap having a little snooze is solid, with great details and exposure.

This ultrawide shot of my friend filming has a decent exposure, but the details when you zoom in are a little mushy. 

It’s the same here, with a noticeable amount of oversharpening giving the scene a crunchy look, which I don’t love. 

This portrait mode shot of my friend is spot on though, with a lovely natural bokeh.

And this image of a dog is pin-sharp.

At 5x zoom, this shot of this man outside a pub looks great.

But this guy carrying an Eevee plushie definitely looks overprocessed, with oversharpened details that I’m not keen on. 

Taken with the regular camera, this scene is well exposed, with the statue on top of the far building being barely noticeable.

Zooming in to 10x brings the statue much more into view, with reasonably sharp details. 

At 30x the phone uses AI to upscale the image, although I don’t think it’s done a good job here — it may even have missed focus as it looks really quite blurry.

But weirdly at 100x it looks far better, with even texture details visible on the statue. It’s a remarkable image, and I did not expect to get a clean shot like this at 100x zoom.

In this very low light indoor bar, the phone did a solid job of our cheers with some old-school Hooch. Details are a little mushy, but that’s to be expected. 

Taken with the main camera using the Pixel’s Night Sight, this night time scene is bright and detailed with little image noise throughout. 

Switching to the ultrawide camera there’s again a decent amount of detail throughout. 

This shot is captured well enough, but I noticed there was again quite a lot of crunchy-looking details from the over-zealous image processing.

So I also shot this photo in raw and did my own editing in Adobe Lightroom. Apart from adjusting the exposure and colors, I was also less heavy-handed when it came to sharpening and clarity, and I think it’s a nicer-looking shot as a result. 

Reasonable battery life

I’ve put the phone through one round of our demanding video streaming battery drain test. After the first hour it had dropped from full to 94%, to 86% by the second hour and to 76% after three hours of streaming. I’d call that result OK at best. It’s in line with the OnePlus 13 and Galaxy Z Flip 7 FE, while phones like the Galaxy S25 Plus and iPhone 16 Pro both had well over 80% remaining after the third hour. 

It’s a very demanding test, though, and in everyday use I’ve found it decent enough. It certainly holds its charge well when not in use, and after 45 minutes of playing Genshin Impact it only dropped by around 7%. Battery life is absolutely an area I want to investigate further before I’m ready to slap on a score.

Pixel 10 Pro XL: Is it still a good phone to buy?

When I first wrote about the Pixel 10 Pro and Pro XL I said they were «shaping up to be superb flagship Android phones.» I stand by that. They look great, the cameras can certainly take some awesome images and the new AI tools are interesting and only going to get better over time. 

You shouldn’t buy this phone if you already own a Pixel 9 Pro or maybe even an 8 Pro. The hardware upgrades are arguably quite minimal and some of the AI prowess of the 10 Pro series will be shared with earlier Pixel models with updates. 

You also shouldn’t look towards this phone if you’re a power gamer, wanting the ultimate handheld console-like experience. While I haven’t benchmarked the processor, its overall performance feels good, but not overwhelmingly potent. It certainly can handle games and if you’re more of a casual gamer wanting to bash a few pixels around on your daily commute, it’ll be more than sufficient. 

I’m looking forward to spending more time with the phone over the coming days and weeks. Some tools — like Magic Cue — will only reveal their true usefulness over time, so this is a phone I’m keen to really get to know. But it’s certainly starting out well. 

Technologies

Google races to put Gemini at the center of Android before Apple’s AI reboot

Google is using its latest Android rollout to position Gemini as the AI layer across phones, Chrome, laptops and cars.

Google is using its latest Android rollout to make Gemini less of a chatbot and more of an operating layer across the phone, browser, car and laptop, just weeks before Apple is expected to show its own Gemini-powered Apple Intelligence reboot at WWDC.
Ahead of its Google I/O developer conference next week, the company previewed a number of Android updates, including AI-powered app automation, a smarter version of Chrome on Android, new tools for creators, a redesigned Android Auto experience, and a sweeping set of new security features.
Alphabet is counting on Gemini to help Google compete directly with OpenAI and Anthropic in the market for artificial intelligence models and services, while also serving as the AI backbone across its expansive portfolio of products, including Android. Meanwhile, Gemini is powering part of Apple’s new AI strategy, giving Google a role in the iPhone maker’s reset even as it races to prove its own version of personal AI on the phone is further along.
Sameer Samat, who oversees Google’s Android ecosystem, told CNBC that Google is rebuilding parts of Android around Gemini Intelligence to help users complete everyday tasks more easily.
“We’re transitioning from an operating system to an intelligence system,” he said.
As part of Tuesday’s announcements. Google said Gemini Intelligence will be able to move across apps, understand what’s on the screen and complete tasks that would normally require a user to jump between multiple services. That means Android is moving beyond the traditional assistant model, where users ask a question and get an answer, and acting more like an agent.
For instance, Google says Gemini can pull relevant information from Gmail, build shopping carts and book reservations. Samat gave the example of asking Gemini to look at the guest list for a barbecue, build a menu, add ingredients to an Instacart list and return for approval before checkout.
A big concern surrounding agentic AI involves software taking action on a user’s behalf without permissions. Samat said Gemini will come back to the user before completing a transaction, adding, “the human is always in the loop.”
Four months after announcing its Gemini deal with Google, Apple is under pressure to show a more capable version of Apple Intelligence, which has been a relative laggard on the market. Apple has long framed privacy, hardware integration and control of the user experience as its advantages.
Google’s Android push is designed to show it can bring AI deeper into the device experience while still giving users control over what Gemini can see, where it can act and when it needs confirmation.
The app automation features will roll out in waves, starting with the latest Samsung Galaxy and Google Pixel phones this summer, before expanding across more Android devices, including watches, cars, glasses and laptops later this year.
The company is also redesigning Android Auto around Gemini, turning the car into another major surface for its assistant. Android Auto is in more than 250 million cars, and Google says the new release includes its biggest maps update in a decade and Gemini-powered help with tasks like ordering dinner while driving.
Alphabet’s AI strategy has been embraced by Wall Street, which has pushed the company’s stock price up more than 140% in the past year, compared to Apple’s roughly 40% gain. Investors now want to see how Gemini can become more central to the products people use every day.
WATCH: Alphabet briefly tops Nvidia after report of $200 billion Anthropic cloud deal

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Waymo recalls 3,800 robotaxis after glitch allowed some vehicles to ‘drive into standing water’

Waymo issued a voluntary recall of about 3,800 of its robotaxis to fix software issues that could allow them to drive into flooded roadways.

Waymo is recalling about 3,800 robotaxis in the U.S. to fix software issues that could allow them to “drive onto a flooded roadway,” according to a letter on the National Highway Traffic Safety Administration’s website.
The voluntary recall is for Waymo vehicles that use the company’s fifth and sixth generation automated driving systems (or ADS), the U.S. auto safety regulator said in the letter posted Tuesday.
Waymo autonomous vehicles in Austin, Texas, were seen on camera driving onto a flooded street and stalling, requiring other drivers to navigate around them. It’s the latest example of a safety-related issue for the Alphabet-owned AV unit that’s rapidly bolstering its fleet of vehicles and entering new U.S. markets.
Waymo has drawn criticism for its vehicles failing to yield to school buses in Austin, and for the performance of its vehicles during widespread power outages in San Francisco in December, when robotaxis halted in traffic, causing gridlock.
The company said in a statement on Tuesday that it’s “identified an area of improvement regarding untraversable flooded lanes specific to higher-speed roadways,” and opted to file a “voluntary software recall” with the NHTSA.
“Waymo provides over half a million trips every week in some of the most challenging driving environments across the U.S., and safety is our primary priority,” the company said.
Waymo added that it’s working on “additional software safeguards” and has put “mitigations” in place, limiting where its robotaxis operate during extreme weather, so that they avoid “areas where flash flooding might occur” in periods of intense rain.
WATCH: Waymo launches new autonomous system in Chinese-made vehicle

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Qualcomm tumbles 13% as semiconductor stocks retreat from historic AI-fueled surge

Semiconductor equities reversed sharply after a broad AI-driven advance, with Qualcomm suffering its worst day since 2020 amid inflation concerns and rising oil prices.

Semiconductor stocks fell sharply on Tuesday, reversing course after an extensive rally that had expanded the artificial intelligence investment theme well past Nvidia and driven the industry to unprecedented levels.

Qualcomm plunged 13% and was on track for its steepest single-day decline since 2020. Intel shed 8%, while On Semiconductor and Skyworks Solutions each lost more than 6%. The iShares Semiconductor ETF, which benchmarks the overall sector, fell 5%.

The sell-off came after a key gauge of consumer prices came in above forecasts, and as conflict in Iran pushed crude oil higher—prompting investors to shift away from riskier assets.

The preceding advance had widened the AI opportunity set beyond longtime industry leader Nvidia, which for much of the past several years had largely carried the market to new peaks on its own.

Explosive appetite for central processing units, along with the graphics processing units that power large language models, has sent chipmakers to all-time highs.

Market participants are wagering that the shift from AI model training to autonomous agents will lift demand for additional AI hardware. Among the beneficiaries are memory chip producers, which are raising prices as supply remains tight.

Micron Technology slid 6%, and Sandisk cratered 8%. Sandisk’s stock has surged more than six times over since January.

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