DaVinci Resolve 16 is the latest version of Black Magic Design’s video editing software that combines professional editing, colour correction, visual effects and audio post-production. You can switch between editing, color, effects and audio in real time while editing video material with up to 8K resolution. The core functions in Resolve are accelerated by both CUDA and OpenCL, including RAW file processing, color correction, advanced video filters and compositing.
The current version 16 also introduces other new GPU-accelerated features, including scopes and functions using the new DaVinci Neural Engine, which uses machine learning to enable powerful new features such as face recognition, estimation of the speed of deformation movement (Speed Warp Motion), automatic face tracking and enhancement, super scaling, automatic color and smart color matching.
The sample project for the first benchmark uses this footage in full 4K resolution without down-sampling or the use of any proxies. In addition, the SuperScale upsampling sample uses a 4K ProRES and an HD H.264 video file.
Who doesn’t know? Adobe Photoshop Lightroom Classic CC is a rather popular image editing and digital asset management tool for photographers to significantly improve the quality of their images when using RAW formats by allowing them to change properties such as white point, exposure, color and hue. While Adobe Lightroom uses basic GPU acceleration when editing and displaying images in the Viewer, the latest version of Lightroom now also uses GPU-accelerated AI to enhance details.
Using the Sensei AI platform, Adobe engineers trained a neural network to demosaic RAW images, focusing on the problem area of RAW file interpolation. The Detail Enhancement feature uses the RTX Tensor Cores to process RAW files over the neural network (for GPUs without Tensor Cores this feature uses normal GPU computation). The result is the ability to extract more image details from the original RAW file than is possible with the traditional interpolation method. The older Pascal and Vega cards perform significantly worse in terms of computing time.
- 1 - Introduction, Technical Data and Test System
- 2 - Teardown, PCB and Cooler
- 3 - Grafik-Performance: Gaming Performance Full-HD & RTX
- 4 - Gaming Performance WQHD
- 5 - Gaming-Performance Ultra-HD & DLSS
- 6 - In-Depth Analysis for all Games
- 7 - Frame Times vs. Power Draw
- 8 - Workstation: CAD
- 9 - Studio: Rendering
- 10 - Studio: Video and Image Editing
- 11 - Power Consumption and Efficiency per Game
- 12 - Power Consumption Summary and PSU Recommendation
- 13 - Temperatures, Clocks and Infrared Tests
- 14 - Geräuschemission / Noise
- 15 - NVIDIA Broadcast - More as a Gimmick?
- 16 - Final Words and Conclusion
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