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Blender Open Data is a platform to collect, display and query the results of hardware and software performance tests - provided by the Blender community. You can download the Open Data Benchmark with versions for Windows, Linux and macOS.

You can select any number of 7 benchmarks to run on your choice of Blender version and render device (CPU / GPU). The benchmark will also gather non-identifiable data on your system setup. Once the benchmark is complete you can share your results on Blender Open Data publicly.

Anonymous Data

All data is kept anonymous by default. No personally identifiable information is collected or displayed. You can however enable a display name to be shown with your results in the Open Data settings.

We’ve built the Blender Benchmark platform with maximum focus on transparency and privacy. We only use free and open source software (GNU GPL), the testing content is public domain (CC0), and the test results are being shared anonymized as public domain data – free for anyone to download and to process further.

We believe this is the best way to invite the Blender community to contribute the results of their performance tests, and create a world-class Open Dataset for the entire CG industry.

Run Offline

You can also run the benchmark in a completely offline environment. In order to do so, download and extract the benchmark script, download and extract the scene you are interested in, enter the script directory and run the following command:

path-to-blender-executable --background \
--factory-startup \
-noaudio \
--debug-cycles \
--enable-autoexec \
--engine \
scene-path.blend \
--python \ \
-- \
--device-type CPU

This will output the benchmark result as the launcher would.

What data do we collect?

When running a benchmark, the software will collect some non-identifiable information about your system for analysis. For example, we collect the operating system (E.g. Windows, Linux or macOS) to compare how efficient Blender runs on each. You can expand the sample below which shows an example of all the data we collect.