Galaxy S25 Ultra with Snapdragon 8 Elite tested on Geekbench

By: Nastya Bobkova | 31.12.2024, 12:49
Galaxy S25 Ultra with Snapdragon 8 Elite debuts on Geekbench with amazing performance First results of Galaxy S25 Ultra with Snapdragon 8 Elite on Geekbench. Source: Android Headlines

Samsung Galaxy S25 Ultra with Snapdragon 8 Elite chip has appeared in the Geekbench database.

Here's What We Know

The test results indicate that the device is at an early stage of optimisation.

According to Geekbench, the S25 Ultra scored 3,049 points in the single-core test and 9,793 points in the multi-core test. It is known that the 6-core cluster retained the standard frequency of 3.53 GHz, and the 2-core cluster was overclocked to 4.47 GHz instead of the standard 4.32 GHz.

Despite these improvements, the result was lower than expected. For example, RedMagic 10 Pro with the same chip but standard frequency can reach over 10,000 points in the multi-core test and about 3,300 in the single-core test. The active cooling built into the RedMagic gives it an advantage, but other flagships without an active cooler also show similar results.

Galaxy S25 Ultra processor performance test results
Galaxy S25 Ultra processor performance test results. Illustration: Geekbench

The tested model had 12 GB of RAM. Samsung is likely to introduce a 16GB version, but whether this will have a significant impact on performance remains to be seen.

It is worth remembering that this is only an early test. Given that the launch of the Galaxy S25 series is approaching, Samsung may not have completed the optimisation of the Snapdragon 8 Elite chip yet. In the final version of the device, the performance may be much higher.

The Galaxy S25 Ultra is likely to be running a preview version of the software. At such early stages, manufacturers often conduct testing to tune the system and improve device performance.

By the time the smartphone is officially launched, the results may change as Samsung continues to work on optimising the processor and other components to maximise their potential.

Source: Geekbench