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 Ryzen 9 7950X is beyond discussion and speaks for itself, but the Intel Core i9-13900K is only very close behind. However, I refuse to flood the CPU with up to 350, just in the maybe still ahead. That would be energetic mischief of the extra class, especially since you could also give the Ryzen 9 even more power.
The single-thread performance logically shows the expected picture, especially since the advantage over Intel’s Alder Lake is extremely large. The small Core i5-13600K even humiliates the Core i9-12900K, aha.
It’s the same as always, of course: a good renderer needs invigorating core feed, it always has. 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 sometimes 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 and rendering virtually everything that didn’t make it to Three on the Trees, and as with Cinebench R23, the Core i9-13900K is only a close second. We will see in a moment what this means at the socket.
The LuxMark, which is a decoupling of the LuxRender suite, shows a very similar positioning in the score, whereby even the old Ryzen 9 5950X can pass Intel’s new flagship. The rest sort themselves out in line with the industry.
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.
Once again, my thanks 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 or more slip closer together at the top. Nevertheless, the Core i9-13900K beats the thick Ryzen 9, which forms the chasing trio together with the Core i5-13600K and the Core i9-12900K.
Encoding, financial service and programming
The first two benchmarks also benefit many cores again, with FSI being pure compute. This is still AMD’s domain, especially since Intel performs weaker overall in FSI than in Handbrake.
Intel is again the measure of all things in Python and even more so in Octave, even though the Ryzen 9 7950X was in the lead for a while. Now he is not. Python, like Math Lab, relies on Intel’s Math Kernel Library (MKL) in many areas. Especially in NumPy, AMD CPUs suffered a bit here in the past. However, the Core i9-13900K now becomes the new Terminator here and the rest follows the usual trend.
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 turn out much smaller, but especially the Core i9-13900K benefits from clock and pushes far ahead of all other CPUs.
- 1 - Introduction, preface and CPU specs
- 2 - What's new with Raptor Lake?
- 3 - Test setup and methodology
- 4 - Gaming Performance HD Ready (1280 x 720 Pixels)
- 5 - Gaming Performance Full HD (1920 x 1080 Pixels)
- 6 - Gaming Performance WQHD (2560 x 1440 Pixels)
- 7 - Autodesk AutoCAD 2021
- 8 - Autodesk Inventor 2021 Pro
- 9 - Rendering, Simulation, Financial, Programming
- 10 - Science and Math
- 11 - Power consumption and efficiency
- 12 - Summary and conclusion
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