However, high-density storage comes at a cost.Īs the flash memory becomes filled with data, the flash controller has to execute various background tasks.

Triple-level cells (TLC) memory store three bits, and a more recent quad-level cell (QLC) memory stores four bits per cell. To increase the storage density of flash memory, manufacturers now store multiple bits per memory cell. What is the Difference Between Datasheet Claims and Actual Benchmarks? Our finding shows that, in the case of flash memory, in addition to the usual difference between unrealistic peak figures and application performance, even the raw performance numbers may not stand up to scrutiny in practice. In nearly all the drives tested, the performance decreased dramatically after about 1.5 minutes of use. What is more surprising is how quickly the performance falls off. In some devices that we have benchmarked, steady-state speeds can be as little as 1% of the out-of-the-box performance. The difference between real-world and datasheet performance is shocking. Real-World Performance versus Datasheet Claims We have carefully measured the real-world performance of our flash controllers and measured performance against that of competitors. To measure the difference between out-of-the-box and steady-state performance, we use the CrystalDiskMark benchmark tool, then run a series of random writes for 72 hours before measuring the CrystalDiskMark performance again. How big is the difference between the out-of-the-box claims in datasheets and the real-world, steady-state benchmarks? Using CrystalDiskMark to Measure Real-world Performance Therefore, choosing a device based on exaggerated figures may lead to a system that does not meet its requirements. It is generally understood that the real-world performance obtained from processors and storage devices is very different from that claimed in datasheets and benchmarks. However, the numbers in the datasheet don’t accurately represent typical SSD performance. When customers choose solid-state drives (SSDs), they often go by the datasheet’s performance figures. Correspondingly, there is a need for faster data transfer speeds. The age of Big Data is placing increasing demands on storage and processing. Pitfalls Await When Choosing a System Based on the Datasheet’s Claims

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