![]() In addition to the above services, Primate Labs also offers Geekbench ML, a benchmark to help users understand how efficiently devices can run the latest machine learning applications. Users can also access Geekbench ML for machine learning scoring The platform also offers a comparison of the performance of Apple iOS devices including a range of iPad and iPhone models – latest-generation devices typically score better than their predecessors as often they come with enhanced processors and performance capabilities. ![]() Geekbench 6 features data on Android smartphone performance including scores from the likes of Vivo, Xiaomi, and Samsung. Geekbench testing of productivity workloads scores the performance of devices for everyday critical tasks such as file compression, navigation services, and web browsing – activities that can put significant strain on a device if the processors inside are not able to handle the tasks effectively. Geekbench compares productivity workloads across a range of devices Multi-core scores offered by Geekbench better represent the capabilities of CPUs that offer better performance for multitasking with enhanced power efficiency. Geekbench offers a single-core and multi-core benchmark to differentiate the performance of the CPU for a single process usage – for example, browsing and some games which are lightly threaded, where other processes need not be running – versus using the CPU for multiple tasks where multiple cores are utilized. ![]() For each processor, Geekbench provides both a single-core and multi-core score: single-core measures the performance of running the tasks on a single CPU core, while multi-core uses all CPU cores. A core element of the tool has and remains CPU testing, offering comparisons between products developed by firms such as Intel and AMD. Primate Labs released the sixth major version of its benchmarking suite in 2023 in the form of Geekbench 6, with the platform featuring updates for specific tests, bug fixes, and improvements to address issues with new hardware. ![]()
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