Samsung Galaxy S25 Ultra Set to Receive Major Performance Upgrade

Samsung is gearing up for significant changes with its upcoming Galaxy S flagship, the Galaxy S25 Ultra. Recent leaked renders depict a sleek device featuring slimmer bezels, cleaner lines, and a more boxy aesthetic. Trusted leaker UniverseIce has confirmed that the Galaxy S25 Ultra will boast a powerful 16GB of RAM. In comparison, the Galaxy S24 Ultra offers 12GB, while the entire iPhone 16 lineup is equipped with 8GB of memory.

While 16GB of RAM may not set new industry benchmarks, it certainly enhances performance. Competing devices like the Asus ROG Phone 8 Pro, REDMAGIC 8S Pro Plus, and OnePlus Ace 2 Pro already push the boundaries with up to 24GB of RAM.

Rest assured, a 16GB RAM option for the S25 Ultra is confirmed.

Currently, most everyday users don’t need an excess of 24GB in a smartphone—unless you're eager to make jokes about having more RAM than a PC. However, upgrading from 12GB to 16GB can yield practical advantages beyond merely keeping apps running in the background or improved gaming performance, as claimed by manufacturers.

The primary advantage comes into play with artificial intelligence (AI), particularly with on-device processing. Unlike relying on cloud solutions, on-device AI executes tasks locally, enhancing efficiency. Recall the discussion regarding Google reserving its Gemini Nano capabilities for the Pixel 8 Pro and not for the standard Pixel 8? Android VP Seang Chau confirmed that the 12GB RAM in the Pixel 8 Pro is more adept at supporting rapid local AI processing than the 8GB found in the Pixel 8.

Clearly, an increase of four additional gigabytes of memory can significantly enhance performance, even if the difference isn't as noticeable as the jump from modest 12GB to 16GB capacity. As AI technology evolves—like Google’s Gemini and Samsung's GalaxyAI models—it becomes essential to incorporate more RAM for better future performance.

According to analysts at Yole Group, while basic AI functions may utilize around 100MB of memory on mobile devices, advanced models could demand up to 7GB of additional RAM. For example, the Gemini Nano model powering AI functions on the Galaxy S24 series reportedly utilizes about 2GB of memory. To efficiently manage AI models with approximately 7 billion parameters, a device ideally needs 16GB of RAM.

Experts estimate advanced large language model (LLM) tasks may require an extra 7GB of memory. Processing intricate datasets—think AI evaluating an image or deciphering a PDF—demands substantial memory for quick calculations. The speed at which data is processed, alongside efficient parameter management, determines the responsiveness of AI outputs. Insufficient RAM can create significant slowdowns for AI tasks. Therefore, with Samsung's strong focus on AI, it makes perfect sense for the Galaxy S25 Ultra to feature 16GB of RAM, ensuring an optimal AI experience.