> In terms of graphics performance, the GPU is said to be 30% faster than last year’s, while consuming half the power when working at the same rate as the A10. Not sure how much power it consumes in that mode, but it's reported to use half the energy of the A10. > There's a new Apple-designed 3-core GPU that's 30 percent faster than the previous-generation GPU, and two of the cores, the Neural Engine, make machine learning tasks faster than ever. Here, the 2 high-power and 4 low-power cores can all operate at once, alongside the 3-core GPU - 2 cores of which can assist ML tasks too. The A11 uses a new second-generation performance controller, which permits the A11 to use all six cores simultaneously, unlike its predecessor the A10. > The A11 features an Apple-designed 64-bit ARMv8-A six-core CPU, with two high-performance cores at 2.39 GHz, called Monsoon, and four energy-efficient cores, called Mistral. Normally, only one set of cores could operate at once. They've added 2 low-power cores, and made the cores faster than the previous version. There are two performance cores that are 25 percent faster than the A10 Fusion chip in the iPhone 7, and four efficiency cores that are 70 percent faster. > Inside the iPhone 8 and iPhone 8 Plus, there's a new six-core A11 Bionic chip. Even more curiously, the iPhone 14 Pro Max was 4 seconds slower, trailing even the A15-powered iPhone 14.Many ARM SOCs use a "BIG.little" CPU technique where they can swap from a high-power dual- or quad-core section of the CPU to a low-power quad-core section. Don't get me wrong, that's a crazy good time, but I find it odd how there's no improvement year-over-year in this test. In fact, they posted the same time at 26 seconds. The iPhone 14 Pro didn't show marked improvement over the iPhone 13 Pro. We wrap up these benchmarks with our Adobe Premiere Rush test, where we task a phone to transcode a 4K video file to 1080p as quickly as possible. iPhone 14 benchmarks: Adobe Premiere Rush The outlier is the Galaxy Z Fold 4 and my suspicion is that because the foldable's cooling system isn't ideal, the system-on-chip thermal throttles to cool down. Phones with the Snapdragon 8 Plus Gen 1 do better, which makes sense since Qualcomm upped the GPU power quite noticeably. Even in the Extreme Unlimited, it outperformed everything else. Moreover, Geekbench 5 bombards your CPU with intensive and non-intensive tasks throughout the phone benchmark process to comprehensively analyze your smartphone. The A16 Bionic's 5-core GPU is a powerhouse, delivering more than 70 fps in the Wild Life Unlimited test. The Galaxy S22 Ultra is technically below 60 fps - what many consider to be the gold standard for gaming. Samsung's Galaxy S22 Ultra trails the iPhone 14 Pro in this benchmark substantially by almost 20 fps. IPhone 14 Pro shown from front displaying iOS16 home screen It is free to download and offers a free trial. It's a good test to see a phone's gaming performance, and I look at the average frames per second (FPS) count to make my distinctions. TechRacoon 2.66K subscribers Join Subscribe 225 Share Save 20K views 2 years ago This tutorial focuses on Geekbench 5 to benchmark your CPU. These push the GPU as hard as it can go, especially the Extreme Unlimited test. I typically choose to look at two of the settings, Unlimited and Extreme Unlimited. iPhone 14 benchmarks: 3DMark Wild LifeģDMark makes graphics benchmarks, and we use Wild Life to test the graphic performance of mobile devices. The chip powering the iPhone 14 may be the same one found in last year's iPhone 13 Pro models, but the iPhone 13 Pro Max posted slightly better numbers on the main Geekbench test - not enough to make much of a difference in real-world performance, but you'd expect the numbers to be more similar. Qualcomm needs to figure out how to catch up. Even the A15 Bionic-powered iPhone 14 leads the rest of the pack. When it comes to raw CPU power, the iPhone 14 Pro and its A16 Bionic destroy everything else. Not only are single-core and multicore performance leagues behind, but Tensor's machine learning power pales in comparison to the A16 Bionic's. Considering how much I love the Pixel 6 Pro, I hate to say this, but Google's Tensor chip is sorely lacking in all areas compared to Apple.
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