![]() Yet again, the M1 Pro destroys anything by the M1, which is hardly a surprise considering the differences in GPU configuration. The Apple SoC and its 10-core CPU has a +40.68% (single) and a +34.30% (multi) advantage over the 10-core Comet Lake desktop chip while not being nearly as power hungry.Īs for graphics, the M1 Pro has been tested in both OpenCL and Metal. 14 nm for the Intel processor) even allows the M1 Pro to demolish the Intel Core i9-10910 that can be found in the 2020 27-inch iMac. A more-refined manufacturing process (5 nm vs. This would leave the new Apple Silicon at the top of the Geekbench Mac single-core chart while destroying anything with an M1 in it in the multi-core chart. That license also now unlocks command-line automation, offline result management, and a stand-alone version.The M1 Pro tests show a score pattern of around 1,750 points for Geekbench 5 single-core and about 12,100 points for multi-core (current averages would have been artificially lowered by a seemingly outlier of a record). ![]() All “non-commerical” use of Geekbench is now free, while the “Pro” version is discounted by 20% to celebrate this new update. Meanwhile, on Android, Geekbench 6 adopts Google’s Material You design language for theming throughout the app based on a user’s wallpaper.Īnother change coming with this latest version of Geekbench is to pricing. Together the performance of each core so that benchmarks scale linearly with an increased coreĬount, our tests measure how cores actually share workloads in true-to-life workload examples. We’ve also overhauled how our multi-core benchmarking scores work. This should also provide more accurate and comparable results when dealing with CPU architectures that mix “big” and “little” cores. Multicore scores have been updated as well, with the new scale measuring how cores share workloads in “true to life” scenarios. ![]() New frameworksĪnd abstraction layers for our benchmark also mean more accurate cross-platform comparisonsįor these measurements across device types and environments, with support for more MLĪcceleration instructions, as well as more uniform GPU performance across platforms. GeekbenchĦ has been updated to better take advantage of your GPU for these workflows. Many new software features and performance improvements come to us through theĬontemporary magic of machine learning, and these tasks don’t just use your CPU. This new version of Geekbench is also changing how the app performs and scores benchmarks, with tests now taking better advantage of the GPU throughout. Geekbench also points out that many existing tests have been updated to better reflect modern workloads. These tests include “background blur” (such as is used in video calls), “photo filters” from social media apps, “object detection” for AI, as well as new tests for tagging metadata on photos and text processing. With that in mind, there are a few new tests in this latest version of Geekbench. What’s new?Ī big focus throughout Geekbench 6 appears to be catching up with modern hardware and using tests that are more reflective of today’s workloads. Geekbench 6 is the latest major update to the benchmarking app, and the first big change since the 2019 release of Geekbench 5. ![]() Geekbench is getting its latest major revision, with Geekbench 6 available today for iOS, macOS, and other platforms.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |