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The iPhone 17 Pro’s Cameras Take the Fight to the OnePlus 15, and There Are Bruises

Camera showdown: The OnePlus 15’s camera should have surprised me, but it really didn’t. Meanwhile, Apple’s iPhone 17 Pro keeps on delivering in terms of photography.

The OnePlus 15 impressed my excellent colleague, David Lumb, with its superb battery life and excellent performance, especially for gaming. I wasn’t as thrilled with the cameras in my early testing, but the proof of its photography prowess comes down to how it stacks up against the competition. In this case, the iPhone 17 Pro is one of our favorite phone cameras and indeed one of the best camera phones you can buy in 2025

For years, OnePlus has partnered with the iconic Swedish camera maker Hasselblad to work on color science and image calibration for OnePlus phones. But that partnership has ended, which puts a lot of pressure on the Chinese company to impress with its camera suite on the OnePlus 15. Throughout all these changes, Apple released the iPhone 17 Pro, which has a brand-new 48-megapixel 4x telephoto camera and carries forward the company’s reputation for excellent photography.

I headed out to the streets of Edinburgh, Scotland, to test both phone cameras in a variety of situations. It’s important to note, though, that what I consider «better» might not be what you agree with. Photography, like all art, is subjective. While, as aprofessional photographer, I prefer more natural, true-to-life tones, you may prefer imagery with more pop and colors. Take my thoughts with a grain of salt. 

Note, too, that all images were taken with each phone’s standard camera mode in JPEG format, and all images have been resized using Adobe Lightroom, with no additional edits or sharpening applied. Small print done with, let’s dive in.

Straight off the bat, I’ll admit a small mistake in the photos above. I took this shot using one of the iPhone’s Photographic Styles. I think it was Gold, and so it’s no surprise that it’s given the image a more vibrant, warmer look that suits the scene incredibly well. I only had the style active for this example and the ultrawide version below. 

However, I noticed that the iPhone’s exposure is broadly better, while the OnePlus’ software processing had worked so hard in reducing image noise that a lot of the texture in the floor had been lost. 

Switch to the ultrawide lenses, and things do change a bit. The iPhone’s exposure above looks preferable to my eye, but the OnePlus’ shot definitely has more detail overall.

This example above is quite classic of the problems I have not just with the OnePlus 15, but also with most of OnePlus’ phones. The image is quite heavily saturated, with an electric-blue sky and vivid greens that look unnatural to me. The iPhone’s image has a much better handle on color here.

My other problem with OnePlus’ phones is how hard they go with their HDR processing, brightening up shadows and pulling back highlights, resulting in images that quite often lack depth and believable contrast. The image above is a prime example where the deep shadows under this bridge have been maintained in the iPhone’s shot, but where the OnePlus 15 has tried to lighten them so much that the image looks very overprocessed.

And to prove it’s not a one-off, this example above is a real low point for the OnePlus. It really tried to eliminate any kind of shadows in this scene, while pulling back the highlights in the sky outside far too much. The image looks fake, overprocessed and exactly what people would think of if you told them a photo was taken on a phone. By taking a far more subtle approach, the iPhone’s image is much more to my liking. 

The OnePlus hasn’t gone as hard with its vendetta against shadows in the image above, but it does look like it’s ramped that saturation way up. It’s not that I don’t like vibrant colors — I do — it’s just that I want to add in that saturation should I want to, rather than having it forced on me by default. 

The images above show a more muted scene and a good effort from both phones. Although taken just nine seconds apart (I checked the metadata), I do think the sun may have slightly peeked out from behind a cloud a little more in the iPhone’s shot, as the front of the building does look quite a lot brighter. Or maybe the OnePlus is going hard on the HDR again. Who knows? Either way, good details on this image from both phones. 

The same scene in ultrawide does arguably look a little muted from the iPhone, at least when compared with the bold blue of the OnePlus’ shot above. Somewhere between the two would be my sweet spot. After I zoomed in on the details, the iPhone’s shot is certainly clearer, but at full screen — or on your Insta feed — that difference is negligible. 

That brightness and color difference persists when taking each phone to its maximum default telephoto zoom, so maybe it doesn’t have anything to do with the sun and clouds after all. Colors aside, the iPhone’s shot above is also clearer, and its details look sharp without being overly digitally sharpened. The OnePlus’ image does have something of a «crunchiness» to it from its software processing that I don’t like as much. 

Peeping close up at the pixels on each phone’s telephoto zoom shot, I definitely think the OnePlus has gone too hard with its sharpening in the image above of a person in a window.

I’m slightly more torn on this nighttime scene. The OnePlus shot above has yet again gone big on the saturation. Look at the overcooked green on the grass — it looks like it was taken at midday in the spring. The iPhone’s colors look way more natural. However, the OnePlus’ sharpening works in favor at night, delivering a shot with crisper details throughout.

And in ultrawide, I flat out prefer the OnePlus image above. Those vibrant tones look much better here, especially as they make the oranges of the building in the background stand out more.

And if we peep at those pixels again, it’s clear that the details on the OnePlus’ shot (left) are far better. Finally, a win for the OnePlus. 

This final indoor low-light scene is a bit more of a mixed bag. The OnePlus’ image above is unquestionably brighter — especially the people nearest the camera — but its noise reduction has gone a bit too hard in some areas, reducing textures on clothing and hair that the iPhone hasn’t done. Overall, though, I’d say this example is a close fight. 

iPhone 17 Pro vs. OnePlus 15: Which camera is better?

For me, it’s an easy victory for the iPhone 17 Pro. Almost across the board, its images are more natural looking with realistic colors, saturation levels and exposure. The OnePlus 15’s reliance on heavy-handed image processing has resulted in often garish-looking photos that are almost the opposite of what I look for in my photography. However, as I said at the beginning, that’s just my opinion. 

As a photographer, I want my camera — any camera — to be able to capture the best-looking image straight out of the camera that I can then apply more edits to if I want to. But maybe you don’t want to do that and instead want a vibrant, punchy-looking shot that you can immediately share to social media. If so, maybe the OnePlus will be fine for you. 

At the end of the day, deciding which phone to buy will come down to more than just the camera, so make sure to read CNET’s in-depth reviews of all of 2025’s best phones to decide which is the one for you.

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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