Cross-platform test suite that evaluates your computer's hardware capabilities
|Category:||Graphics & Design|
|Version String:||23.2 (330542)|
|Architecture:||Intel & AppleSilicon(ARM)|
|Minimum OS:||macOS 10.13.0|
|Vendor Name:||Maxon Computer GmbH|
Version History 23.2 (330542)
• Cinebench R23 supports Apple’s ARM-powered silicon computing systems.
• Cinebench R23 is now based on the latest Cinema 4D Release 23 code using updated compilers, and has a minimum runtime activated by default (previously hidden in preferences)
• Cinebench R23 provides improved benchmark accuracy for current and next generation CPUs to test if a machine runs stable on a high CPU load, if the cooling solution of a desktop or notebook is sufficient for longer running tasks to deliver the full potential of the CPU, and if a machine is able to handle demanding real-life 3D tasks.
Cinebench R23 now has the option to directly test the single core performance without manually enabling the “Advanced benchmark” option. The “Advanced benchmark” allows users to set arbitrary minimum runtimes to stress test the hardware for even longer periods of time.
• Because of code and compiler changes, Cinebench R23 score values are readjusted to a new range so they should not be compared to scores from previous versions of Cinebench
How powerful is your computer? Test it with Cinebench!
Cinebench leverages the same powerful 3D engine found in the award-winning animation software Cinema 4D Release 20 to accurately evaluate CPU rendering performance capabilities across various systems and platforms.
For over a decade, Cinebench has been a popular tool to evaluate hardware performance. Cinebench scores are used by system administrators to help make purchase decisions, journalists to review hardware, hardware manufacturers to optimize their latest products, as well as computer owners to evaluate their individual system.
Improvements to Cinebench Release 20 reflect the overall advancements to CPU and rendering technology in recent years, providing a more accurate measurement of Cinema 4D's ability to take advantage of multiple CPU cores and modern processor features available to the average user.
Cinebench R20 FAQs:
• Cinebench R20 uses a much larger and more complex test scene than R15 requiring about 8x the computational power needed to render it. The test also requires about 4x the memory. Therefore R15 and R20 results cannot be compared.
• Cinebench R20 and Cinema 4D R20 incorporate the latest rendering architectures, including integration of Intel’s Embree raytracing technology and advanced features on modern CPUs from AMD and Intel that allow users to render the same scene on the same hardware twice as fast as previously.
• Cinebench R20 provides improved benchmark accuracy for current and next generation CPUs to test if a machine runs stable on a high CPU load, if the cooling solution of a desktop or notebook is sufficient for longer running tasks to deliver the full potential of the CPU, and if a machine is able to handle demanding real-life 3D tasks.
• Cinebench R20 does not test GPU performance.
• Cinebench R20 will not launch on unsupported processors. On systems lacking sufficient RAM to load the test scene, a warning will be displayed and the CPU benchmark will not be executed.
• Background tasks can significantly influence measurement and create diverse results. It's always a good idea to shut down all running programs and disable any virus checking or disk indexing, but it's impossible to eliminate all background processes. Modern operating systems perform various background tasks that cannot or should not be disabled, even though they could have a minor influence on the results.
• Test results can vary slightly because it's impossible to disable every background task of the operating system. These tasks are one factor that may have a slight influence on measurements. Also, modern computers and graphics cards dynamically adjust clock speeds based on environmental conditions like power and temperature. For instance, processors will reduce clock speed when running too hot to allow for cooling and prevent damage. With many modern processors the reverse is also true. They are able to overclock themselves when the temperature is low enough. So, a system freshly started in a relatively cool environment will typically run faster than the same system that has been performing benchmarks for several hours in a heated office.