Synthetic benchmarks
Synthetics are a great way to really break out the big numbers once in a while, if they’re right. We will see later how well this works in reality with the real application benchmarks. Therefore, I start with the CrystalDiskMark and four different file sizes. The SSDs had already been in use for months at the time of the test and were therefore not new, and I had also had fill levels of plenty of 66% before deleting the data several times. However, the SSD never quite reached the stated maximum values from the spec sheet, but the values determined here are constant in the meantime and are not that far below the manufacturer’s specifications.
You can see very well that the dynamic pSLC does exactly what it is supposed to, mind you with an empty (though no longer new) SSD. The annoying thing about a 1 TB SSD is that the space is rather limited and you should never fill it more than 2/3 with data. System drive yes, but data grave no. You must always take this into account when planning in advance. A higher load does not affect reading, but the dynamic SLC will certainly reach its limits at some point during writing. And if you do it over and over again, switching the memory modules between the two methods will also eventually become impossible.
ATTO acts in a similar way, although I only work with two sizes here, which ends up being the same. The data is quite similar to that of the CrystalDiskMark, but is constantly a tad lower.
Video streams
But what happens when you stream a video? For this purpose, the industry uses the AJA benchmark, which is in effect an interface between synthetic benchmarks and practical application. The Solidigm P44 pro does not fluff here either and you can see the work of the cache very nicely.
Reading is done at a consistently high level and also without any major dips. That’s really good.
For the curious, I also have the measurement protocol with all the details as a PDF:
BENCHMARK-TABLE
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