Samsung Galaxy S23 Ultra debuts on new Geekbench 6 database

Primate Labs' upgrade to v6.0.0 for its prominent benchmark for mobile devices is well underway by now, with 1,000 pages of listings at the time of writing. One of its latest stars appears to be the Samsung SM-S918N, or Galaxy S23 Ultra.

Its handful of listings are very similar to Geekbench 5.5.1 results associated with the same device from a different region (SM-918B). They include 12GB of RAM being used to run Android 13 on the motherboard kalama, indicating its 8-core ARMv8 Snapdragon 8 Gen 2 for Galaxy with 1 core at a top speed of 3.36GHz.

Obviously, these specs have accrued rather different scores between Geekbench variants. This is because its developer has chosen to focus on different aspects of device function in order to compile its scores, adding new variables such as Photo Library and Photo Filter, while dropping others such as AES-XTS, Speech Recognition and even Machine Learning.

It gives the impression that these are areas of processing a tester or user could very nearly take for granted, whereas perhaps more consumer-centric functions such as object-recognition and AR (Structure from Motion is still being tested for) are the priority.

In any case, the S23 Ultra seems one of the higher-scoring subjects thus far, although it is outdone by the iPhone 14 Pro Max and challenged by the Xiaomi 13 on Geekbench 6 thus far.

Buy an S23 Ultra on Amazon