Rendering with Cinebench, Blender and LuxRender
Even though I don’t really like it because the Cinebench R23 delivers rather inconsistent results, you can of course still make a correct statement in total. The performance of the two new CPUs roughly corresponds to the braked power limit. We keep up well, but without setting any real highlights. But the efficiency… Let us then later still surprise us with pleasure!
The single-thread performance logically shows the expected picture.
Of course, it’s the same as always: a good renderer needs invigorating core fodder, that’s always been the case. My beloved igoBOT is a grateful task there, even if rendering on the CPU is slowly going out of fashion. But before I take things like Cinebench as the sole benchmark, I’d rather run something like that, which also causes a few minutes of work and delivers very consistent results. And it can also heat.
Once again, we see the Ryzen 9 7950X ramming everything into the ground and rendering everything that didn’t make it to the trees. The new CPUs also struggle dutifully, whereby the Ryzen 5 7600 in particular tends to end up behind because it suffers from a lack of food.
The Luxmark as a decoupling of the LuxRender suite shows a very similar positioning of both new Ryzen CPUs in the score.
LTspiceXVII
New in my benchmark suite is LTspiceXVII, a circuit simulation program. The simulator is designed to run industry standard semiconductor and behavioral models. New circuits can be designed with the integrated schematic capture. Simulation commands and parameters are placed as text on the schematic using common SPICE syntax. Waveforms of circuit nodes and device currents can be recorded by mouse click on the nodes in the schematic during or after simulation.
My thanks here go to our forum member Deridex, who contributed the workload as well as the idea. A total of 16 threads are used in the benchmark, which naturally makes the CPUs with 8 cores and more slip closer together at the top.
Encoding, financial service and programming
The first two benchmarks also benefit many cores again, with FSI being pure compute. The expected picture quickly emerges:
In Python and even more so Octave, Intel used to be the measure of all things, now they are no longer. Python, like Math Lab, relies on Intel’s Math Kernel Library (MKL) in many areas. NumPy in particular suffered a bit here in the past. The Ryzen 9 7900 is now in the Intel sandwich here, the Ryzen 5 7600 is still miles ahead of the Ryzen 7 5800X3D.
The next workload uses Octave, a programming language for scientific computing, to solve a variety of mathematical operations. The differences between the bar lengths of the CPUs are much smaller than just now.
- 1 - Introduction, preliminary remark and CPU data
- 2 - Gaming Performance HD Ready (1280 x 720 Pixels)
- 3 - Gaming Performance Full HD (1920 x 1080 Pixels)
- 4 - Gaming Performance WQHD (2560 x 1440 Pixels)
- 5 - Autodesk AutoCAD 2021
- 6 - Autodesk Inventor 2021 Pro
- 7 - Rendering, Simulation, Financial, Programming
- 8 - Science and Mathematics
- 9 - Power Consumption and Efficiency
- 10 - Temperatures and Cooling
- 11 - Summary and Conclusion
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