Yesterday the new Pixel 9 was finally presented, and as expected, artificial intelligence occupied a good part of the presentation, with all kinds of new functions and advantages obtained thanks to Google AI, the company’s platform. However, there is a brand that wants to remember that not only did it precede this AI on mobile, but it also does it better.
We are talking about Samsung, of course. The company has managed to regain Apple’s mobile throne thanks to the Galaxy S24 and its compatibility with Galaxy AI. The AI platform is the one that launched functions such as Surround for search or automatic translation; It has also gained new features in the latest One UI updates, such as photo editing that allows you to add elements to an image, simply by drawing them with your finger.
You might think that Galaxy AI and Google AI should be very similar, and that the experience on the Galaxy and Pixel should be identical. After all, Galaxy AI is built on Google’s platform and uses its generative AI models; we might even think that it doesn’t matter what mobile phone we use, because the AI runs in the cloud. But we couldn’t be more wrong, and now Samsung has shown why.
And that’s it The “hardware” of the mobile phone continues to be very important in the AI experience, even if it doesn’t seem like it. The study, titled “Leading the Consumer AI Revolution with Samsung Galaxy AI,” was conducted in collaboration with consultancy Signal65 to demonstrate the role that AI-optimized hardware plays in the experience.
The study compared the Galaxy S24 Ultra and the Pixel 8 Pro in various tests, both performance tests and real-life usage tests, to clarify to what extent a good mobile phone can affect the use of AI. For starters, the artificial performance tests leave no doubt that Samsung’s mobile is more powerful and more capable of performing machine learning tasks, with up to 7.8 times better performance
Comparison of object removal from photos between the Galaxy S24 Ultra (left) and the Pixel 8 Pro (right)
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Perhaps most surprisingly, this benefit translated into a better real-world user experience. For example, the study focused on removing objects from photos and found that The Galaxy S24 Ultra was faster and surprisingly more accurate
This is because Galaxy AI does not use exactly the same process as the Pixels; instead of working only in the area we have selected, the Samsung system creates a border around the object itself without impacting the surrounding area. In this way, in testing, Samsung avoided the presence of visual artifacts or the effect of “mixing” the object with the background that sometimes appears with this technology in the Pixels. And it did it faster than opening the image in a program on the computer.
The arrival of AI is not going to eliminate the differences between mobile phones, quite the opposite. Over time, models capable of operating locally on the mobile will arrive, such as the Gemini Nano, with greater privacy and speed. In this case, having a good mobile phone will be important if we want the best experience.
