Update: According to the latest leaks, the only model to come with 4 GB of RAM is the regular iPhone 11, while the Pro and Pro Max variants integrate 6 GB of RAM, so the Geekbench model is most likely the regular version.
Even though the new iPohne 11 models are supposed to go on sale tomorrow, September 13, it looks like some eager testers already got their hands on Apple's latest handhelds and started to post results in the Geekbench archive. First to make an alleged appearance on the popular benchmark site is the iPhone 11 Pro, Apple’s upper-mid-tier model that still packs 4 GB of RAM, when most mid-range Android phones integrate at least 6 GB, if not even 8 GB of RAM.
While the amount of RAM is almost embarrassing for a premium device of such caliber, this aspect has minimal impact on the tests conducted by Geekbench, which focus almost entirely on the SoC’s raw power. This is where the A13 Bionic SoC really shines, helping the iPhone 11 Pro overcome the RAM problem.
According to Geekbench, the alleged iPhone 11 Pro test results were recorded under the iPhone12,3 model name, which runs on iOS 13. The SoC information is in-line with the specs announced by Apple for the A13 Bionic, and the results are well above everything we have seen from Android-based SOCs. For the single-core tests, the A13 Bionic managed to score 5472 points, which puts it almost 1,000 points above the fastest Snapdragon 855 devices, whereas the multi-core tests reveal an even bigger lead of around 2,400 points compared to the Exynos 9825 SoC.
Many phone users will argue that synthetic results do not really mean much and tests should really focus on day-to-day use cases. In such instances, the amount of RAM can really make a difference, as the phone can feel more responsive if it is able to store more app info on the RAM side. Tests performed by GSMArena comparing the Galaxy Note 10+ with 12 GB RAM and the iPhone XS Max with 4 GB RAM revealed that Samsung’s model did not have to reload a single app, while the Apple phone was constantly dropping apps to prioritize the limited memory amount.