Samsung appears to be implementing significant alterations, both aesthetically and internally, for the upcoming Galaxy S flagship. Recent leaks have hinted at a more refined Galaxy S25 Ultra, showcasing sleeker bezels, streamlined lines, and a more angular design.
According to trusted leaker UniverseIce, the Galaxy S25 Ultra will be equipped with a whopping 16GB of RAM. In comparison, the Galaxy S24 Ultra comes with 12GB, while the entire iPhone 16 lineup is limited to 8GB of RAM.
However, Samsung’s Galaxy S25 Ultra won’t be breaking new ground with its 16GB RAM offering. Other devices, such as the Asus ROG Phone 8 Pro, REDMAGIC 8S Pro Plus, and OnePlus Ace 2 Pro, have all exceeded that threshold with up to 24GB of RAM.
The S25 Ultra will definitely have a 16GB RAM version, this is 100% confirmed, don’t worry.
— ICE UNIVERSE (@UniverseIce) September 27, 2024
While 24GB may be overkill for the average user today—unless one is eager to flaunt that their phone sports more RAM than a personal computer—upgrading from 12GB to 16GB could bring tangible advantages. This increase not only allows for more applications to run simultaneously in the background but may also enhance gaming performance, as manufacturers often claim.
It’s all about AI, probably
AI technology stands to gain the most from this increase in RAM, particularly in mobile devices where local processing is paramount over cloud computing. Recall the buzz surrounding Google’s decision to reserve certain AI capabilities for the Pixel 8 Pro while not extending them to the standard Pixel 8 model?
Android’s VP and general manager, Seang Chau, later confirmed that the 12GB RAM on the Pixel 8 Pro was ideal for efficient local AI processing, unlike the 8GB found in the Pixel 8.
Clearly, an additional 4GB can make a noticeable difference, although the transition from 12GB to 16GB may not present a dramatic performance leap. However, with AI applications advancing and becoming more complex, outfitting smartphones with ample RAM is a wise choice for future demands.
As the Yole Group’s analysts note, basic AI functionalities currently utilize around 100MB of RAM; however, generative AI features could require up to an additional 7GB. For instance, the Gemini Nano running AI tasks on the Galaxy S24 series reportedly consumes roughly 2GB of memory, yet to support AI models containing up to 7 billion parameters efficiently, 16GB is advisable.
In essence, sophisticated large language model (LLM) tasks may benefit from this extra RAM. Efficient data processing and effective parameter management are crucial for quick AI output, and insufficient RAM can hinder performance. Given Samsung’s focus on enhancing its AI capabilities, equipping the Galaxy S25 Ultra with 16GB of RAM seems a logical step.
