In another performance test of CPU, iPhone 13 Pro Geekbench test scores reached Single-Core Score of 1728, and Multi-Core Score of 4695 points. Benchmark results for an iPhone 13 Pro Max with an Apple A15 Bionic processor. The data on this chart is gathered from user-submitted Geekbench 6 results from the Geekbench Browser. Apple A15 Geekbench GPU Score Apple 15 Geekbench ScoreĬombined with Apple’s publicity, the A15 processor GPU performance improvement is indeed still quite a lot, there is no regret in this regard, after all, the GPU can continue to stack material. Benchmark results for the iPhone 13 Pro can be found below. Running the score for the iPhone 13 Pro GPU alone, with a Metal score of 14,216, a 55% improvement compared to the iPhone 12 Pro’s average of 9123 points. So how much of an improvement is there over the A14 processor in the iPhone 12 series? There are already tested performances of iPhone 13 Pro on Geekbench. Well, on the introduction page of iPad mini 6, Apple gave comparative performance data of A15 compared to A12 (previous-generation iPad mini 5), with a 40% CPU improvement and 80% GPU improvement. This week Apple released the iPhone 13 series of cell phones and iPad mini tablet, processor upgraded to A15 Bionic, except that the Pro version is only full-featured 5 core GPU, other models of GPU neutered to 4 core GPU.įor the performance of the A15, Apple’s description this time is very confusing, the launch site comparison is the so-called Android’s strongest rivals, claiming that the CPU is 50% ahead of the performance of the competition, the GPU is claimed to be 30% ahead of the performance of the competition, but there is no detailed information. It is in 12 position out of a total of 529 smartphones. Reportedly, Qualcomm is pushing to get an updated version of the Snapdragon 8 Gen 1 out sooner than usual, as the Plus versions of its top-of-the-line silicon usually doesn't appear until the second half of the year.īe sure to see our Samsung Galaxy S22 Ultra review to see how well this phone stacks up in all aspects versus the competition.IPhone 13 Pro Geekbench | Apple A15 Bionic Geekbench Score Apple iPhone 13 mini Geekbench single-core score is 2204 and multi-core is 5208. Apple's A15 Bionic chip remains in a class of its own when it comes to CPU, GPU and video encoding tasks, though it fell behind the S22 Ultra on a couple of machine learning tests. What Samsung hasn't done is overtaken the iPhone 13 Pro Max as the fastest phone around. (We'll be conducting more tests to be sure.) ![]() The Geekbench single-core score was faster than the S21 Ultra but I don't get why the multi-core score was lower this time around. The data on this chart is gathered from user-submitted Geekbench 5 results from the Geekbench Browser. Based on my experience with the phone, it feels super responsive, and of course there's also camera performance, our S22 Ultra display testing and battery life.īut when it comes to raw performance, the S22 Ultra's Snapdragon 8 Gen 1 chip delivers a sizable gain in GPU firepower, and it encoded video significantly faster than the S21 Ultra. Benchmark results for the iPhone 13 can be found below. The Samsung Galaxy S22 Ultra's benchmark scores tell you something about its performance, but not everything. Samsung Galaxy S22 benchmarks: Bottom line ![]() The NPU performance from the S22 Ultra was also nearly 3x that of the S21 Ultra. Please refer to the following articles for the difference in appearance of each model.IPhone 13 / iPhone 13 mini / iPhone 13 Pro. The Pixel 6 Pro's Tensor chip trailed Samsung on all three tests. Geekbench 5.4.4 for iOS AArch64 Result Information. ![]() Top Single-Core Results Top Multi-Core Results Recent Results. The iPhone fared better for CPU (915) but fell behind on GPU (1,587) and NPU (2,663). Benchmark results for an iPhone 13 with an Apple A15 Bionic processor. Surprisingly, the Galaxy S22 Ultra finished ahead of the iPhone 13 Pro Max in this test, notching a CPU score of 434, 2,039 for GPU and 3,132 for NPU. The tests measure the machine learning performance of a phone's CPU, GPU and NPU. We used the Geekbench ML app, which includes computer vision and natural language processing tests that model real-world machine learning tasks and applications. So how does the Snapdragon 8 Gen 1 inside the S22 Ultra stack up? Every phone maker now touts the machine learning and AI capabilities of their phones, and Samsung is no exception.
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