Apple’s newly announced iPhone lineup, made up of the impressive iPhone X and more iterative iPhone 8 and iPhone 8 Plus combination, is very much the talk of the town right now and for good reason. All three new iPhones are excellent devices for various reasons, with one of those being the new A11 Bionic chip that beats at the heart of all three new models.

Apple’s CPU upgrades always bring with them some impressive numbers, but this particular one is something else. At least, that’s the case when it comes to benchmark scores.

It is, of course, true that benchmark scores do not always tell the full story, but in this case, we have to take them at face value if only because of the sheer jump amazement that they induce. The iPhone’s new A11 Bionic chip absolutely smokes the competition as far as Geekbench numbers are concerned, including the competing high-end Android phones from the likes of Samsung.

Geekbench scores for the iPhone X started to appear online ahead of the official announcement a few hours ago, and they are impressive, to put things mildly. The new Apple A11 “Bionic” chip has a 4000+ single-core score while the multi-core score on the 6-core chip comes in at just under 10000. Those numbers are decent improvements over the iPhone 7 that Apple released last year, and when you compare with Android devices, things really start to get interesting. For example, Samsung’s own Exynos 8895, which is inside some versions of the Galaxy S8, tops the list at just over 1900 on the single-core score. Following that, we have the Kirin 960 from Huawei, and Qualcomm’s Snapdragon 835, which post scores of around 1880 and 1800 respectively. Just think about that for a moment.

We will have to wait for someone to test these new iPhones in person and somewhere other than a demo room in order to get a feel for just how fast this new chip is, but it’s probably safe to say that it’s fast – very fast indeed.

If there is one thing Apple seems to be able to nail every year, it’s producing a new in-house chip that screams.

(Source: Geekbench)

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