Difference between revisions of "Performance & Benchmark"
From CUVI Wiki
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Revision as of 19:59, 26 June 2018
If one thing CUVI gives you, it's performance boost over competitive libraries and solutions. Using GPGPU as the underlying hardware, Imaging and Vision modules get maximum benefit due to their inherent parallel algorithms. In addition to cost cutting on CPU-based clusters, CUVI gives up to 15x speedup over Intel IPP.
Applications using CUVI are generally ten times faster than their CPU counterpart. CUVI framework also gives the ease to scale the application on more than one GPU making it as fast as you want.
| 1080p Full HD | 4k Ultra HD | 8k Ultra HD | |
|---|---|---|---|
| autoColor | 7088.83 fps | 1850.02 fps | 461.36 fps |
| lowlight | 2143.02 fps | 525.16 fps | 145.52 fps |
| demosaicDFPD | 1707.94 fps | 412.72 fps | 101.86 fps |