Supermicro X11SCL-IF Performance
For this exercise, we are using our legacy Linux-Bench scripts which help us see cross-platform “least common denominator” results we have been using for years as well as several results from our updated Linux-Bench2 scripts.
At this point, our benchmarking sessions take days to run and we are generating well over a thousand data points. We are also running workloads for software companies that want to see how their software works on the latest hardware. As a result, this is a small sample of the data we are collecting and can share publicly. Our position is always that we are happy to provide some free data but we also have services to let companies run their own workloads in our lab, such as with our DemoEval service. What we do provide is an extremely controlled environment where we know every step is exactly the same and each run is done in a real-world data center, not a test bench.
We are going to show off a few results, and highlight a number of interesting data points in this article.
Python Linux 4.4.2 Kernel Compile Benchmark
This is one of the most requested benchmarks for STH over the past few years. The task was simple, we have a standard configuration file, the Linux 4.4.2 kernel from kernel.org, and make the standard auto-generated configuration utilizing every thread in the system. We are expressing results in terms of compiles per hour to make the results easier to read:
Here we have 22 different CPU options ranging from around $64 to around $539. In this test, we can see a similar range of around 9x bottom to top-end performance.
c-ray 1.1 Performance
We have been using c-ray for our performance testing for years now. It is a ray tracing benchmark that is extremely popular to show differences in processors under multi-threaded workloads. We are going to use our 8K results which work well at this end of the performance spectrum.
The biggest steps, by far, happen with each successive increase in cores or threads. We generally tell our readers that these are the first criteria for selecting processors to pair with platforms like the X11SCL-IF.
7-zip Compression Performance
7-zip is a widely used compression/ decompression program that works cross-platform. We started using the program during our early days with Windows testing. It is now part of Linux-Bench.
For those wondering why we do not have Core i5, Core i7, and Core i9 results, but we do have Core i3 results, this is due to platform compatibility. The Core i3 series has been treated as lower than Xeon E(3) series for some time, and thus Intel enables ECC memory support and supports them in this platform. The Core i5-i9 are considered consumer platforms as the alternatives to the Xeon E series without ECC support.
OpenSSL is widely used to secure communications between servers. This is an important protocol in many server stacks. We first look at our sign tests:
Here are the verify results:
We think that the majority of our users will use the Intel Xeon E-2246G and lower in the SKU stacks with the X11SCL-IF. This is simply due to price/ performance for the platform. We will note that the Intel Core i3-9100F and this motherboard can combine to make a sub-$300 solution that is very powerful.
Chess is an interesting use case since it has almost unlimited complexity. Over the years, we have received a number of requests to bring back chess benchmarking. We have been profiling systems and are ready to start sharing results:
We wanted to show the Xeon E-2100 series results as well as those from the Core i3-8100 series since they work in the X11SCL-IF. At the same time, we think that the Xeon E-2200 series is where most of our users will focus their attention on when pairing a CPU with the X11SCL-IF.
Next, we are going to check out the block diagram before getting to our final words.