Samsung may once again rely on MediaTek for its next flagship tablets. A new report from Android Authority claims references to the Dimensity 9500 have been spotted inside Samsung’s AI Core application, hinting at what could power the upcoming Galaxy Tab S12 lineup.
The chipset appears in the code under model number MT6993, which corresponds to MediaTek’s flagship Dimensity 9500 platform. The code itself does not directly mention the Galaxy Tab S12 series, but based on Samsung’s recent tablet strategy, it is the most likely candidate.
Samsung already shifted away from Qualcomm for some of its premium tablets in recent years. The Galaxy Tab S10 and Tab S11 series used high-end Dimensity chips instead of Snapdragon processors, so the move would not be surprising this time either.
The Dimensity 9500 is built on TSMC’s 3nm process and focuses heavily on AI and power efficiency. It uses an all-big-core CPU setup along with MediaTek’s latest Mali GPU, which should help with gaming and multitasking on larger-screen devices like tablets.
Interestingly, the leak comes from Samsung’s own AI software. The AI Core app reportedly references several on-device AI features expected for the Tab S12 lineup, including AI-generated wallpapers, generative image editing, image expansion, and something called Image Harmonization. That last feature is said to intelligently adjust lighting and colors when placing subjects into different backgrounds, making edits look more natural.
The broader pattern here is Samsung pushing more AI processing directly onto the device instead of relying entirely on cloud servers. That usually means faster performance, lower latency, and fewer privacy concerns since some tasks no longer need internet access.
The Galaxy Tab S12 series is expected to launch later this year, likely around the usual September timeframe. Models like the Tab S12+ and Tab S12 Ultra are expected to return, though full specs are still mostly under wraps.
If this leak turns out to be accurate, Samsung’s next flagship tablets could end up focusing just as much on AI performance as raw hardware power.
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