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CTOnews.com, February 14, Geekbench is a cross-platform benchmark for processing performance that can be divided into single-core and multi-core performance, as well as workload capabilities that simulate real-world usage scenarios. At present, there are Geekbench 2, Geekbench 3 Geekbench4 and Geekbench 5, the latest version of which is Geekbench 5.5.

Today, Geekbench 6 is officially released for Windows, Linux, macOS, and iOS, Android platforms.

Geekbench official Primal Labs says many changes have taken place in the science and technology world in the past three years. Smartphone cameras can take bigger and better pictures. Artificial intelligence, especially machine learning, has become ubiquitous in general and mobile applications. The number of kernels in computers and mobile devices is increasing. Great changes have taken place in the way we interact with computers and mobile devices.

In order to keep up with these advances, Geekbench 6 has been officially released. This latest version of Geekbench is designed with modern users in mind and reflects the way users actually use the device in 2023.

▲ Geekbench 6 runs in Windows 11

According to ▲ Geekbench 6, which runs the official blog in macOS 13, Geekbench 6 aims to focus on machine learning workflows, reduce the focus on single-core CPU testing, and solve the problem of shared workloads for processors with large and small core architectures.

In terms of machine learning, Geekbench 6 will "make better use of GPU" in scenarios where CPU is less used, support more machine learning acceleration instructions, and more uniform cross-platform GPU performance.

For multicore benchmarking, Geekbench 6 will be able to quantify how the kernel shares tasks in the "real workload sample". Previously, Geekbench simply added up the performance of each core.

In addition, Geekbench 6 increases the size of the test images to simulate what users actually capture with their mobile cameras in 2023.

Geekbench 6 will also include a series of new tests:

The background is blurry, as during a video conference

Photo filters, similar to those used by modern social media applications

Object Detection of AI workload

A photo library for importing and semantically tagging photos and metadata

Used to parse and transform text processing such as price reductions and regular expressions in Python (more realistic developer use cases)

The following is a comparison of Samsung Galaxy S22 Ultra running points in Geekbench 6 and Geekbench 5.5.1:

CTOnews.com found that the pricing of Geekbench 6 is also different, no longer selling single-user licenses, but for free use for all non-commercial uses.

The Pro version of Geekbench 6 will remain at $99 (currently about 675 yuan) and add more features, including offline results, automated command line, and portable versions. Over the next two weeks, Primate Labs will sell the Pro version at a discount of $79.

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