On Basemark Web, a comprehensive web benchmark, the Galaxy S22 series scored about 8% better than the Galaxy S21 Ultra. Meanwhile, in web benchmarking using Basemark Web, PCMag tests found that the Galaxy S22 series performed 8% better than last year, but the iPhone 13 Pro Max still doubled the Samsung score: On the GFXBench graphics benchmark, we saw an improvement of 20% or more depending on circumstances. 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. PCMag notes that this is a noticeable improvement for Qualcomm over last year’s Snapdragon 888, but it’s still not enough to catch up to Apple. On the flip side, the iPhone 13 Pro Max scored 4647 in multi-core tests, 1735 in single-core testing, and 948 in machine learning tests. In Geekbench 5 tests, the Galaxy S22 Ultra, which is powered by Qualcomm’s Snapdragon 8 Gen 1 processor, scored 3433 in multi-core testing, 1232 in single-core testing, and 448 in machine learning testing. While PCMag notes that the Galaxy S22 is the “most powerful Android phone” it’s tested so far, its benchmark results still fall behind the iPhone 13 Pro and iPhone 13 Pro Max. New benchmarks conducted by PCMagindicate that Samsung’s latest Galaxy S22 still can’t keep up with the A15 Bionic chip in the iPhone 13 Pro. 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.Apple continues to show its chip prowess not only in the latest Apple Silicon-powered Macs, but also in the iPhone. 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. 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. GOS decides to throttle (or not to throttle) applications using application identifiers and not application behavior. 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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