![]() ![]() And as Apple discontinued the iPhone SE 2020, it is now the only budget device in Apple’s current iPhone lineup. You can check our in-depth story on iPhone SE 3 to know more about its specs and features and find the Indian prices of the iPhone SE 3 right here. So, if you are willing to carry an iPhone with those huge front bezels and a Touch ID-enabled home button in today’s world of smartphones with notches, punch-holes, and an under-display fingerprint sensor, the iPhone SE 3 will not disappoint you in terms of performance. As you can see, these scores are significantly lower than iPhone SE 3’s single-core and multi-core scores. The official single-core and multi-core Geekbench scores of the Galaxy S22 Ultra are 12, respectively. Now, what is really surprising is the fact that Apple’s iPhone SE 3 was able to beat the top-tier model of Samsung’s Galaxy S22 series, that is the Galaxy S22 Ultra. While the single-core score of the iPhone SE is a tad bit higher than the 1672 single-core score of the iPhone 13, the 4481 multi-core score of the iPhone 13 is much higher than that of the iPhone SE 3’s multi-core score. Comparing them with the scores of Apple’s current flagship iPhone 13, which also packs the A15 Bionic chip, they are pretty close. Thanks to these changes, Geekbench 6.1 single-core scores are up to 5% higher, and multi-core scores are up to 10% higher than Geekbench 6.0 scores.Īs you may have noticed, Geekbench 6.1 is also expanding support for AVX-512 and it is going to greatly benefit the newer AMD Ryzen chips extend their dominance over Intel.Considering its starting price of Rs 43,900 in India, the Geekbench scores of the iPhone SE 3 are pretty impressive. Improve Multi-Core Performance Geekbench 6.1 improves the multi-core implementations of the Background Blur and Horizon Detection workloads, especially on high-end desktop processors such as 12- and 16-core AMD Ryzens, AMD Threadrippers, and Intel Xeons.Geekbench uses fixed-point math to implement some image processing functions on systems without FP16 instructions. ![]() Introduce support for fixed-point math Geekbench 6.1 introduces fixed-point implementations of several image processing functions.Introduce support for AVX512-FP16 instructions Geekbench 6.1 includes AVX512-FP16 implementations of several image processing functions.Introduce support for SVE instructions Geekbench 6.1 includes SVE implementations of several image processing and machine learning functions.The increased workload gap minimizes thermal throttling and reduces run-to-run variability on newer smartphones such as the Samsung Galaxy S23. Increase workload gap Geekbench 6.1 increases the workload gap (the pause between workloads) from two seconds to five seconds.Geekbench 6.1 also improves the optimization switches used when building Geekbench. Upgrade to Clang 16 Geekbench 6.1 is built with Clang 16 on all platforms.Geekbench 6.1 features the following changes: Geekbench explains that this has been done to reduce run-to-run variability. Samsung Galaxy S22 Ultra 5G Snapdragon on Geekbench 4 with Android Motorola Edge X30, 6,511 14,356 Asus ROG Phone 6D Ultimate, 4,901 14,334 Xiaomi Mi 11i 5G. The latest version of Geekbench, version 6.1, has made an interesting change regarding this issue as it has increased the workload gap between its various tests from two seconds up to five seconds. Regardless, due to over-heating, the high-end Galaxy devices were probably thermal throttling a bit either way during benchmarks, even if GOS wasn't intentionally doing it. We view this as a form of benchmark manipulation as major benchmark applications, including Geekbench, are not throttled by this service. We saw a 13 rise in Geekbench single-core scores and a 9 rise in Geekbench multi-core scores. GOS decides to throttle (or not to throttle) applications using application identifiers and not application behavior. There is definitely improvement from last year's Snapdragon 888 to this year's Snapdragon 8 Gen 1. Earlier this week, we were made aware of Samsung's Game Optimizing Service (GOS) and how it throttles the performance of games and applications. ![]()
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