Blender can use GPU acceleration (CUDA or OpenCL) to render directly on the GPU with Cycles. The Radeon Pro W5700 doesn’t even do badly.
This benchmark contains a scene with ~470K vertices and ~900K triangles. The scene contains three identical car models and is rendered with the OpenGL renderer while the camera pans 360 degrees. The 3D real-time rendering is only half as fast as that of the Quadro RTX 4000, but it still looks smooth and jerk-free enough.
In the Luxrender, the Quadro RTX 4000 and the Radeon Pro W5700 are almost on a par and declassify the rest of the other cards as desired.
Caffe is a deep learning framework developed by Berkeley AI Research (BAIR) in collaboration with the community. Yangqing Jia started the project during his doctoral studies at UC Berkeley.
Folding@home (FAH or F@h) is a distributed computing project for disease research that simulates protein folding, computational drug design and other types of molecular dynamics. Unfortunately, the program did not run on the Radeon Pro W5700 as the only card. Here, it will surely have to give in with new drivers and/or patched client.
- 1 - Introduction, Unboxing, Technical Data
- 2 - Tear Down: PCB and Cooler
- 3 - SPECviewperf 13
- 4 - Creo 3
- 5 - Solidworks 2019
- 6 - Solidworks 2019 Enhanced Graphics
- 7 - 3ds Max 2015
- 8 - Inventor Pro 2020
- 9 - 2D Performance - GDI and GDI+
- 10 - Rendering and Compute
- 11 - Premiere Pro 2020 (v14) and HEVC
- 12 - Power Consumtion and PSU Recommendation
- 13 - Temperatures, Clock Rate, Infrarot
- 14 - Fan Speed and Noise
- 15 - Conclusion and Bottom Line
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