Rendering
It’s like always, of course: a good renderer needs invigorating core fodder, it always has. My beloved igoBOT is a thankful task there, even if rendering on the CPU is slowly going out of fashion. But before I take such things as the Cinebench, which also delivers completely inconsistent values (3 measurements, 4 results), I then run something like this, which can also run for a few minutes.
We see the Core i5-12400 just behind the Ryzen 5 5600X in my bot’s rendering, which is mostly due to the PL2, as it’s fallback to the PL1 after 28 seconds. However, LuxRender succeeds much better even without exceeding them, which also shows that the new architecture isn’t that bad and that DDR4 can more than keep up as well.
Encoding, financial service and programming
The first two benchmarks again benefit from the many cores, with FSI being pure compute. However, since both compared CPUs only have 6 cores, they consequently have to rank behind. Alder Lake behind Zen3, because the low PL1 is a bit in the way here.
However, in Python and even more so Octave, Intel is still the measure of all things. 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. That’s why the Alder Lake CPU scores so well again.
The next workload uses Octave, a programming language for scientific computing, to solve a variety of mathematical operations. The bar lengths between the two small 6-cores with DDR4 differ significantly, only the Core i5-12400 with DDR5 has to rank behind the Ryzen 5.
- 1 - Introduction and test systems
- 2 - Autodesk AutoCAD 2021
- 3 - Autodesk Inventor 2021 Pro
- 4 - Solidworks 2021
- 5 - Various CAD benchmarks - SPECvieperf 2020
- 6 - Rendering, Financial, Programming
- 7 - Science and math (1)
- 8 - Science and math (2)
- 9 - Power consumption and efficiency
- 10 - Summary and conclusion
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