The cross-platform Geekbench benchmark can be used on Windows, Linux, macOS and Android operating systems. In the latest release, existing workloads have been updated and new workloads have been added that simulate the everyday use of modern devices (e.g., video conferencing or social media interactions).
The updated software uses higher-quality images as test photos, as well as larger maps and PDFs compared to the previous version, Geekbench 5, released in 2019. With Geekbench 6, the data should be better comparable between platforms and devices, and the graphics hardware should also be processed better. It will also take better advantage of hybrid architectures such as those from Apple, Intel, or Qualcomm. In addition, the new benchmark takes more time, which should lead to a deeper understanding of how each device performs under a longer workload.
The developers at Primate Labs confirm that Geekbench will remain a free software, however, there is also a Pro version that includes a professional license.
Geekbench 6.0 Changes
New and Updated Real-World Tests
Geekbench tests have always been grounded in real-world use cases and use modern. With Geekbench 6, we’ve taken this to the next level by updating existing workloads and designing several new workloads, including workloads that are more powerful than ever:
- Blur backgrounds in video conferencing streams
- Filter and adjust images for social media sites
- Automatically remove unwanted objects from photos
- Detect and tag objects in photos using machine learning models
- Analyze, process, and convert text using scripting languages
Modern Data Sets
We also updated the datasets that the workloads process so they better align with the file types and sizes that are common today. This includes:
- Higher-resolution photos in image tests
- Larger maps in navigation tests
- Larger, more complex documents in the PDF and HTML5 Browser tests
- More (and larger) files in the developer tests
true-to-Life Scaling
the multi-core benchmark tests in Geekbench 6 have also undergone a significant overhaul. Rather than assigning separate tasks to each core, the tests now measure how cores cooperate to complete a shared task. This approach improves the relevance of the multi-core tests and is better suited to measuring heterogeneous core performance. This approach follows the growing trend of incorporating “performance” and “efficient” cores in desktops and laptops (not just smartphones and tablets).
Source: Geekbench via The Verge
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