Samsung MZ-V6P512 User Manual download pdf (Page 27)

maximum random performance is represented by 4KB at QD 32.

Random performance is most often reported in Input/Output Operations per Second (IOPS), which can be calculated

from CDM’s results by dividing the total Bytes per second by the data transfer size (4KB). For example, in the image to

the left, if we divide the Random Read speed of 408.7MB/s by 4KB (4,000MB), we get 0.102175MB/s or 102,175 IOPS.

While the majority of client PC workloads will not exceed a QD of 1, some usage scenarios may generate a QD of 2-6 or

even up to 10 (in limited applications). Data center applications, on the other hand, may generate massive numbers of

Input/Output (I/O) requests, creating a QD of 32, 64, or even 128 in some cases (depending on the number of access

requests per second). This is why it is useful to look at multiple performance metrics when evaluating the overall

performance of a drive and why it is important to know which metrics are more appropriate for the intended usage

application.

Iometer

Iometer, also freely available via the web, is another popular synthetic benchmarking tool. It is commonly used to

measure IOPS (random performance) and is the program Samsung uses to measure the random speeds of its SSDs.

Its interface is significantly more complex than CDM, but it offers more control over the testing scenarios. Users can

customize what types and sizes of data to use (or mix) as well

as specify the test length, the number of workers (threads), or

the queue depth, among other options.

When choosing variables for a Random performance

benchmark, remember that IOPS performance will vary

greatly depending on the parameters of the test data

(e.g. the number of threads, queue depth, data block size,

etc.) and system configuration (e.g. storage drivers, OS

background processes, RAM, etc.). IOPS numbers are directly

affected by the NAND components, storage controller, and

NAND interface speeds, which may all influence random data

seek time. For the vast majority of users, the most meaningful Iometer scores will be those of 4K random Read and

Write performance at a Queue Depth of 1-32. The example screenshot above shows Random Write performance for

the 840 PRO SSD.

Trace-Based Benchmarking Tools

Trace-based Benchmarking tools are essentially a recording of actual Input/

Output (IO) requests from a set of real-world processes (e.g. running Microsoft

Word or Windows Media Center or moving image files from a USB disk to the SSD

and subsequently deleting those files). Think of a cassette tape or a CD-R, which,

once they contain a recording, can be played back on any number of compatible

devices. A trace-based tool will record the time it takes to finish a complete trace

(playback) on a particular system configuration, allowing a user to compare

results among SSD vendors. Trace-based tools are more realistic than synthetic

tools and are much faster to complete than an application-based benchmark.

PCMark Vantage and PCMark 7

PCMark Vantage, designed for Windows Vista, and PCMark 7, designed for Windows 7, consist of pre-recorded traces of

real-world user scenarios (actual applications are not run, but emulated) designed to test PC performance at the system

and component level. These tools include a variety of test scenarios that test all system components, but storage

reviewers select only data relevant to SSDs to report in their reviews. Tasks could include: viewing and editing photos,

video, music and other media, gaming, communications, productivity, and general storage.

Application-Based Benchmarking Tools

An Application-Based Benchmarking tool differs from both of the above types of tool in that actual applications (e.g.

Microsoft Word or Adobe Photoshop) are installed and run while performance is recorded. Applications are chosen

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Samsung MZ-V6P512 User Manual Page 27

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