surpasses Snapdragon 8 Gen 1

The new iPhone SE, announced on March 8, does not come with many differences or improvements compared to the previous model. It seems to be just a processor upgrade for an outdated exterior design, but one that is likely to remain in the top of sales, due to its affordable price and the fact that it is one of the few small iPhone models. The performance of the Apple A15 has already been demonstrated on the iPhone 13 series and the iPad Mini 6, but now we can see what this processor can do on the smallest iPhone in the offer, thanks to Geekbench.

iPhone SE, more powerful than the most powerful Android models in Geekbench tests

As we have seen in the past, the smaller a phone is, the more likely it is to run into performance limits. This is because there is a smaller surface for heat dissipation produced by the processor, and the components are more “crowded” inside. And this is confirmed in the first performance tests with the iPhone SE in 2022.

Apple A15 Bionic scores 1,695 points in Single-Core and “only” 4,021 points in Multi-Core in Geekbench tests, significantly less than the iPhone 13, especially in the “multi” test. IPhone 13 models are usually around 4,700 points. However, compared to the iPhone SE 2020, equipped with the Apple A13 processor, the difference in performance is significant. He scored 1,300 points in single-core and 3,300 in multi-core.

Another thing that is confirmed with these tests is the amount of RAM available on the iPhone SE. Apple has increased the amount of RAM from 3 to 4 GB, to be in tune with the iPhone 13 and 13 Mini models, also equipped with Apple A15 Bionic.

Even with its performance limitations, the Apple A15 processor on the iPhone SE manages to deliver better results than most of the top processors on top Android devices. Recently, I tested Snapdragon 8 Gen 1 on the Motorola Edge 30 Pro and scored 1,194 points in Single-Core and 3,728 in Multi-Core. But these are just synthetic performance tests. In everyday use, even the A13 processor is still enough to get a smooth user experience in everyday applications. Differences can only be seen in complex applications, such as video editing, where video waiting times can be significantly reduced with more processing power available.

source: GeekBench