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I Tested the iPhone 16E and Pixel 9A Cameras and the Results Were Stunning

Camera comparison: I put Apple’s most affordable phone against Google’s and definitely came away with a winner.

Google has proved with the Pixel 9A that you can still take good-looking snaps and pay less than $500. Images from the phone look terrific and capture a lot of detail and texture. And Google’s algorithm secret sauce for capturing beautiful and natural complexions in portraits is on full display here.

Apple replaced its cheapest phone with the iPhone 16E. In doing so, it tried to pull some of the affordable photographic attention away from the Pixel. The iPhone 16E takes lovely photos, even with one fewer camera than the Pixel. Apple is well-known for pushing the limits of phone photography with the iPhone, but that is usually tied to its iPhone Pro line, which starts at $1,000. While $599 is Apple’s lowest price for a new phone, the iPhone 16E misses the Pixel 9A’s $500 sweet spot.

If you’re looking to save money by buying a base smartphone, are you giving up all hopes of taking good photos? The cameras on flagship phones like the iPhone 16 Pro and Samsung Galaxy S25 Ultra are capable of astonishing results, but those and other best-camera options cost $1,000 and up. 

So that raises the question: Does a pricier phone take better photos?

To find out, I took the iPhone 16E and Pixel 9A around San Francisco and put them through a camera test. Several hundred photos later, I was surprised by the results, but I ended up with one being my favorite.

iPhone 16E and Pixel 9A camera specs

Camera Resolution Aperture Notes
Pixel 9A wide 48MP f/1.7 OIS
Pixel 9A ultrawide 13MP f/2.2 Takes 12MP photos
Pixel 9A selfie 13MP f/2.2 Fixed focus
iPhone 16E wide 48MP f/1.6 OIS
iPhone 16E selfie 12MP f/1.9 Autofocus

Right off the bat, this isn’t exactly a level playing field. The Pixel 9A has three cameras: a wide, ultrawide and selfie. The iPhone 16E only has two: a wide and selfie. Each phone’s main camera has a 48-megapixel sensor and groups four pixels together to create a «super» pixel that captures more light. That also means photos exhibit less image noise and therefore need less noise reduction, which can otherwise leave your pictures looking like a blurry, soft mess.

Both phones lack a dedicated telephoto camera and use sensor cropping to achieve a 2x magnification that in my testing looks pretty good.

The Pixel 9A has a «macro mode» and can focus on subjects that are close up. Interestingly, it doesn’t use its ultrawide camera for macro shots like many other phones do. Sadly, the iPhone 16E lacks a macro mode unlike the rest of its iPhone 16 brothers and sisters. However, I noticed that the main camera can take close up shots with the subject in-focus (maybe not as dramatically close as a dedicated macro mode allows for).

iPhone 16E vs. Pixel 9A: Photos

Take a look at some of my favorite photos from both phones.

iPhone 16E vs. Pixel 9A: Photo comparisons

In general, I found that the Pixel 9A really pushes the dynamic range in its images. The phone captures more details in the shadows but really aggressively brightens them too, like in the photos below of Maisie the cat. The iPhone 16E’s image of Maisie doesn’t have as much detail and texture in her fur. Somewhere in between the Pixel’s photo and the iPhone’s image is how the cat actually looked in real life.

I also find that the Pixel takes images with a cooler color temperature, while the iPhone’s photos have more contrast, especially outdoors. Take a look at the photos below of a brick building here in the Mission in San Francisco. Notice the bricks in each photo.

In terms of Portrait mode, neither the Pixel nor iPhone have a dedicated telephoto lens. And remember, the iPhone 16E has only a single rear camera, so it relies solely on AI and machine learning to determine the depth of a scene and create that artistic out-of-focus background.

The first thing I notice with the portrait mode photos below of CNET’s Faith Chihil is how differently the iPhone and Pixel handled the textures in the yellow sweater and green chair. The «cutout» (from in focus to out of focus) looks natural, except for the green chair in the iPhone’s photo. And Faith’s complexion looks most true to life in the Pixel 9A image. The iPhone 16E’s photo makes her skin look muddy and muted.

Something else I noticed is that the iPhone 16E’s portrait mode only works on humans; on the iPhone 16 and 16 Pro, animals are automatically recognized as portrait subjects. So, if you want dramatic-looking snaps with artistically blurred backgrounds of Fido or Mr. Cupcakes, then the Pixel is the way to go. Sorry for yet another cat photo, but check out the portrait mode snap below of Maise the cat.

Both phones take night mode images (Google calls them Night Sight photos). In the photos below of a space shuttle Lego set taken in a very dim room, neither of the images are great. The iPhone 16E’s photo has the least image noise, but the contrast is heavy. I prefer the Pixel 9A’s photo.

I also snapped images of a residential block at dusk where the street lights really make the iPhone’s night mode photo look orange. The iPhone’s image is brighter. But notice the details in the telephone wires across the top of the images below. The iPhone captures them as continuous lines, whereas the Pixel 9A’s image has them made up of tiny jagged line segments.

iPhone 16E vs. Pixel 9A: Which would I choose?

Overall, both phones have their shortcomings when it comes to photography. I don’t think most people would choose an affordable phone solely based on the camera’s performance. Be assured that if you get either phone, you’ll be able to take decent snaps with some images bordering on looking great.

The iPhone 16E costs more, lacks an ultrawide lens and, while the pictures it takes are decent, I think that the Pixel 9A’s cameras are great for a $500 phone, and would likely opt for it.

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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Technologies

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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Technologies

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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