GPUBench
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GPUBENCH times different MATLAB GPU tasks and estimates the peak performance of your GPU in floating-point operations per second (FLOP/s). It produces a detailed HTML report showing how your GPU's performance compares to pre-stored performance results from a range of other GPUs.
Note that this tool is designed for comparing GPU hardware. It does not compare GPU performance across different MATLAB releases.
Requires MATLAB R2016b or above and a GPU with CUDA Compute Capability 2.0 or higher.
Cite As
MathWorks Parallel Computing Toolbox Team (2023). GPUBench (https://www.mathworks.com/matlabcentral/fileexchange/34080-gpubench), MATLAB Central File Exchange. Retrieved .
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- Parallel Computing > Parallel Computing Toolbox > GPU Computing >
- Parallel Computing > Parallel Computing Toolbox > Performance Profiling >
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GPUBench-v2p1
GPUBench-v2p1/+gpubench
Version | Published | Release Notes | |
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2.1 | Fix string issues with MATLAB version R2016b. |
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2.0 | - Update stored data to have one JSON file per device
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1.12.0.0 | Update reference data for R2018a to R2020b.
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1.11.0.0 | Update report style.
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1.10.0.0 | Update R2017b data file
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1.9.0.0 | * Improve compatibility with MATLAB R2014b
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1.8.0.0 | Fix recursion problems when using the MATLAB App version. |
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1.7.0.0 | * Add datafile for R2013b |
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1.6.0.0 | * Add results for R2013a (including K20!) |
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1.5.0.0 | * Suppressed warnings about results being skipped
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1.4.0.0 | * Add an "app" version for use with R2012b and above
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1.2.0.0 | Try to prevent timeout being hit on very slow GPUs that happen to be driving the display as well. |
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1.1.0.0 | Add data for C2075 |
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1.0.0.0 |