Apple said that the iPhone 13 Pro series graphics processor can be up to 50% faster than the main competitors, and can provide support for video apps, high-performance games, and a series of new camera features. iPhone 13 and iPhone 13 mini are equipped with 4-core GPU, while iPhone 13 Pro and iPhone 13 Pro Max are equipped with 5-core GPU. iPhone 13 and iPhone 13 Pro have the same CPU, but differ in terms of GPU. IT Home learned that Apple’s iPhone 13 series models use the A15 chip and have 6 CPU cores, including 2 performance cores and 4 energy efficiency cores. Geekbench version 5 contains new test fields such as augmented reality. These running points show that compared with the A14 bionic processor in the iPhone 12 series, the A15 single-core performance is increased by approximately 10%, and the multi-core performance is increased by 18%.įor comparison, the current Android flagship cores Snapdragon 888+, Kirin 9000, and Exynos2100 run points as follows: Geekbench 5 is a multi-system benchmark and measures the performance of a computer. The A15 bionic processor has a maximum main frequency of 3.23GHz, a stable single-core running score of 1.7K+, and a multi-core up to 4.8K. The running score shows that the memory of iPhone 13, 13 Pro, and 13 Pro Max are 4GB, 6GB, and 6GB respectively, which are consistent with the information displayed by the previous Xcode 13 code, that is, there is no change compared to the previous generation. According to blogger the CPU scores of iPhone 13 and iPhone 13 Pro have also been exposed. During the event, the Cupertino-based tech giant claimed that the new Apple A16 Bionic SoC was up to 40% faster than the competition.IT House September 16 News Earlier today, Apple’s iPhone 13 Pro’s first Geekbench GPU running score was released, a huge improvement. iPhone 14 Pro Max features a 6.7-inch Super Retina XDR OLED display with always-on display (AoD). As mentioned above, the iPhone 14 Pro and iPhone 14 Pro Max are powered by an Apple A16 Bionic SoC. MacRumors says that in terms of GPU performance, the iPhone 13 Pro series. During the event, the Cupertino company launched the iPhone 14 series. Now, MacRumors has spotted the first Geekbench benchmark test of the iPhone 13 Pro, revealing its beast-y performance. The next-generation iPhone 14 Pro models are powered by an Apple A16 Bionic SoC, and last year’s iPhone 13 series is powered by an Apple A15 Bionic SoC.Īpple held the “Far Out” launch event on September 7. The alleged iPhone 14 Pro Max and iPhone 13 Pro Max come with 6GB of RAM. This again is outperformed significantly by the iPhone 13. The iPhone 13 Pro Max shows up with a single-core performance score of 1,729 and a multi-core performance score of 3,831.ĭuring the test, both handsets were running on the latest iOS 16 operating system, which has yet to be officially released. Qualcomm’s neural unit is dubbed Hexagon and has seemingly aided the S22 Ultra to reach 448 points on Geekbench’s machine learning test. Since the model ID of the iPhone 13 Pro Max is iPhone 14.3 on Geekbench, it is likely that the listing belongs to the iPhone 14 Pro Max.Ĭompared to the Geekbench listing for iPhone 13 Pro Max, the new iPhone 14 Pro Max only offers about 8.7% improvement in single-core performance and about 22% increase in multi-core performance. The iPhone 15.3 Geekbench listing suggests that the handset scored 1,879 in single-core performance and 4,664 in multi-core performance. The new handset was launched on September 7, during the company’s ‘Far Out’ event. The iPhone 14 Pro Max is powered by the Apple A16 Bionic chip, while last year’s iPhone 13 Pro Max is equipped with an Apple A15 Bionic SoC. In comparison to the iPhone 13 Pro Max (which is listed on the benchmarking website with the iPhone 14.3 model ID), the company’s latest handset is listed to offer an 8.7% improvement single-core performance and an increase of approximately 22%. A new listing for a handset called iPhone 15.3 will likely belong to the new iPhone 14 Pro Max. Apple’s iPhone 14 Pro Max was spotted on benchmarking site Geekbench.
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