Geekbench 6 introduces new real-world tests, better multi-core handling
Primate Labs today announce the launch of the new Geekbench software.
Geekbench is a cross-platform benchmark that can be used on Windows, Linux, macOS, and Android operating system. The newest version has updated existing workloads and new workloads that simulate every-day use of modern device (such as video conferencing or social media interactions).
In comparison to the previous version, Geekbench 5 which was released in 2019, updated software uses higher quality images as test photos, bigger maps and PDFs. The Geekbench 6 should hare more comparable data between platforms and devices, not to mention better handling of the graphics hardware.
The software will also take better advantage of the hybrid architectures, such as Apple’s, Intel’s or Qualcomm’s. Furthermore, the new benchmark takes more time to finish, which should give more in-depth understanding of how each device performs under longer workloads.
Primate Labs confirm that Geekbench will remain free software, but 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:
- 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
- Analyse, 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
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).