![]() The iPhone 13 Pro Max appears with 1,729 score in single-core performance, and 3,831 score in multi-core performance.ĭuring the test, both the handsets were running on the latest iOS 16 operating system, which is yet to be officially released. In comparison with the Geekbench listing for the iPhone 13 Pro Max, the new iPhone 14 Pro Max only offers about 8.7 percent improvement in single-core performance, and about 22 percent increase in multi-core performance. ![]() Since, the model ID for the iPhone 13 Pro Max is iPhone 14,3 on Geekbench, it is likely that the listing belongs to the iPhone 14 Pro Max. The Geekbench listing of the iPhone 15,3 suggests that the handset has 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, whereas, last year's iPhone 13 Pro Max features an Apple A15 Bionic SoC. In comparison with the iPhone 13 Pro Max (which is listed on the benchmarking website with the model ID iPhone 14,3), the company's latest handset is listed to offer an 8.7 percent improvement in single-core performance, and about 22 percent increase in multi-core performance. A new listing for a handset called iPhone 15,3 is likely to belong to the newly launched iPhone 14 Pro Max. This only proves that Geekbench can NEVER be trusted, especially across other platforms.Apple's iPhone 14 Pro Max has been spotted on the Geekbench benchmarking website. That is complete BS, especially since some of the Object detection apps smoke the iPhone 11/SE out of the water. The iPhone SE, or 11 has a AI hardware rating of 5.5 TOPS, but it still smokes the much fast AI hardware rating of the newer Snapdragon 8 gen 1 SoC, which is rated at 52 TOPS, that is almost 10 times faster than a iPhone 11. Take note of the iPhone 7 (2016) ML score of 354, which has no dedicated AI hardware on the A10 SoC, but yet it beats the Pixel 6, which has dedicated AI hardware built into its Tensor SoC. Galaxy S22, 448, 52 TOPS / some instances up to 104 TOPSĪll of those ML scores come from Geekbench ML website, and the AI hardware ratings come from the wiki pages for Apples SoCs, and the Galaxy S devices come from Qualcomms documentation. I am adding to your chart all of the AI hardware ratings for all of the devices that you listed, including some other devices from that site:ĭevice name - ML score - AI hardware rating This Geekbench chart only proves what a piece of crap Geekbench scores really are.īy going to the Geekbench ML Benchmarks website that lists all ML scores for every device that was tested, proves that Geekbench scores cannot be trusted across different platforms. ![]() The iPhone 13 Pro Max also outperformed Samsung's latest phones in the Geekbench 5 test but fell slightly behind in the GFXBench 5 test. But the iPhone 13 Pro Max got double any Samsung model's score, as we've seen in the past, because of the differences between Apple's Safari browser and the Google Chrome browser on Android phones. On the GFXBench graphics benchmark, we saw an improvement of 20% or more depending on circumstances.The Qualcomm processor's Geekbench scores beat the Google Tensor chip in the Pixel 6, but didn't match up to Apple's iPhone 13 Pro Max.On Basemark Web, a comprehensive web benchmark, the Galaxy S22 series scored about 8% better than the Galaxy S21 Ultra. We saw a 13% rise in Geekbench single-core scores and a 9% rise in Geekbench multi-core scores. There is definitely improvement from last year's Snapdragon 888 to this year's Snapdragon 8 Gen 1. the Chrome browser that Android phones use. PCMag notes that this is not only because of the performance of the A15 chip but also the Safari browser vs. In new benchmark tests conducted by PCMag, the iPhone 13 Pro Max doubled the score of the Galaxy 22 series on the Basemark Web test.
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