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<\/p>\nIf you’ve ever looked at SSD reviews, product specifications, or benchmark screenshots, you’ve probably noticed something confusing:\u00a0<\/p>\n
The same SSD might achieve 7,400 MB\/s<\/strong> in one test, 6,800 MB\/s<\/strong> in another, and an entirely different score in a third benchmark.<\/p>\n So which result is correct?<\/p>\n The answer is that they all can be correct.<\/p>\n SSD performance is not measured through a single universal test. Different benchmark tools use different workloads, file sizes, queue depths, compression methods, and testing conditions. As a result, the numbers can vary significantly\u2014even when testing the exact same drive.<\/p>\n Understanding how SSD performance is measured can help you make better purchasing decisions, interpret benchmark results more accurately, and avoid being misled by marketing numbers.<\/p>\n Most SSD specifications highlight two numbers:<\/p>\n \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440:<\/p>\n These figures are usually achieved under highly controlled laboratory conditions.<\/p>\n However, real-world workloads rarely resemble these ideal scenarios.<\/p>\n When opening applications, launching games, booting Windows, or searching through files, your SSD is often performing thousands of small read and write operations rather than transferring a single massive file.<\/p>\n This is why benchmark results should always be viewed within the context of how they were measured.<\/p>\n Before comparing benchmark tools, it’s important to understand what they are actually measuring.<\/p>\n Sequential performance measures how quickly an SSD can read or write large continuous blocks of data.<\/p>\n \u041f\u0440\u0438\u043c\u0435\u0440\u044b:<\/p>\n This is typically the headline number used in product marketing.<\/p>\n Random performance measures how quickly an SSD can access many small files located in different areas of the drive.<\/p>\n \u041f\u0440\u0438\u043c\u0435\u0440\u044b:<\/p>\n For many everyday tasks, random performance has a greater impact on perceived responsiveness than sequential speed.<\/p>\n Queue Depth refers to how many commands are waiting to be processed simultaneously.<\/p>\n Common values include:<\/p>\n Consumer workloads often operate at lower queue depths, while enterprise workloads may operate at much higher levels.<\/p>\n An SSD may perform exceptionally at QD32 but show smaller advantages at QD1.<\/p>\n Latency measures how long it takes for the SSD to respond to a request.<\/p>\n Lower latency often contributes more to system responsiveness than higher maximum throughput.<\/p>\n Among PC enthusiasts, CrystalDiskMark is probably the most widely used SSD testing tool.<\/p>\n CrystalDiskMark focuses on:<\/p>\n It provides a broad overview of SSD capabilities.<\/p>\n CrystalDiskMark is easy to understand and widely recognized.<\/p>\n Many published SSD specifications are based on testing methodologies similar to CrystalDiskMark.<\/p>\n As a result, benchmark screenshots are often used in marketing materials and product reviews.<\/p>\n \u2714 Easy to use<\/p>\n \u2714 Widely accepted<\/p>\n \u2714 Good for comparing SSDs<\/p>\n \u2714 Measures both sequential and random workloads<\/p>\n CrystalDiskMark uses synthetic workloads.<\/p>\n Real-world applications may not behave exactly like the benchmark.<\/p>\n A drive that scores higher in CrystalDiskMark does not always feel noticeably faster during daily use.<\/p>\n Long before NVMe became mainstream, ATTO was one of the most commonly used SSD benchmarking tools.<\/p>\n Many manufacturers still rely on ATTO results when publishing specifications.<\/p>\n ATTO measures performance across multiple transfer sizes.<\/p>\n Instead of testing only one block size, it evaluates:<\/p>\n This allows users to see how performance scales as workloads change.<\/p>\n One reason ATTO frequently reports impressive speeds is that it uses compressible data.<\/p>\n Certain SSD controllers can process compressible data more efficiently.<\/p>\n \u0412 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0435:<\/p>\n This is one reason published specifications often closely resemble ATTO results.<\/p>\n AS SSD was designed specifically for testing SSD performance.<\/p>\n Unlike ATTO, it uses incompressible data.<\/p>\n Many real-world files cannot be compressed effectively:<\/p>\n Testing with incompressible data often provides a more conservative and realistic performance estimate.<\/p>\n An SSD that achieves:<\/p>\n might show:<\/p>\n in AS SSD.<\/p>\n This doesn’t mean the drive is slower.<\/p>\n It simply reflects a different testing methodology.<\/p>\n Several factors contribute to benchmark variations.<\/p>\n Some benchmarks use:<\/p>\n Others use:<\/p>\n This can dramatically affect results on certain controllers.<\/p>\n Testing at QD1 often produces very different results compared to QD32.<\/p>\n A drive optimized for high queue depth workloads may appear stronger in synthetic benchmarks than in everyday desktop use.<\/p>\n Performance can vary significantly depending on whether the benchmark uses:<\/p>\n transfer sizes.<\/p>\n Modern SSDs often use an SLC cache.<\/p>\n During short benchmarks:<\/p>\n During long transfers:<\/p>\n This is why sustained write testing can produce very different results.<\/p>\n Temperature affects SSD performance.<\/p>\n As temperatures increase:<\/p>\n A benchmark performed on an open-air test bench may differ from one conducted inside a compact system.<\/p>\n SSD performance can also be influenced by:<\/p>\n The same SSD may produce different results on different systems.<\/p>\n One common mistake is assuming benchmark scores directly translate into user experience.<\/p>\n Consider two SSDs:<\/p>\n Many users assume SSD A will feel dramatically faster.<\/p>\n \u041d\u0430 \u0441\u0430\u043c\u043e\u043c \u0434\u0435\u043b\u0435:<\/p>\n \u041f\u043e\u0447\u0435\u043c\u0443?<\/p>\n Because real-world responsiveness often depends more on:<\/p>\n than on peak sequential throughput.<\/p>\n When evaluating an SSD, consider more than just advertised speed.<\/p>\n Important factors include:<\/p>\n The controller acts as the SSD’s processor.<\/p>\n It affects:<\/p>\n Different NAND types influence:<\/p>\n Especially important for:<\/p>\n Higher speeds often generate more heat.<\/p>\n Effective thermal management helps maintain performance under load.<\/p>\n Well-optimized firmware can significantly improve responsiveness and consistency.<\/p>\n When comparing SSDs:<\/p>\n \u2705 Look at multiple benchmark tools<\/p>\n \u2705 Consider both sequential and random performance<\/p>\n \u2705 Check sustained performance tests<\/p>\n \u2705 Read real-world usage reviews<\/p>\n \u2705 Evaluate reliability and consistency<\/p>\n Don’t focus exclusively on a single benchmark screenshot.<\/p>\n SSD benchmarks are valuable tools, but they only tell part of the story.<\/p>\n CrystalDiskMark, ATTO, and AS SSD each measure performance differently, which is why the same drive can produce different results across tests.<\/p>\n Understanding these differences allows users to make more informed decisions and evaluate storage products more accurately.<\/p>\n The fastest benchmark result does not always guarantee the best user experience. In many cases, factors such as latency, sustained performance, thermal behavior, controller quality, and firmware optimization play a much larger role in everyday computing.<\/p>\n As SSD technology continues to evolve in 2026, looking beyond headline speeds remains one of the best ways to choose the right storage solution.<\/p>","protected":false},"excerpt":{"rendered":" Understanding CrystalDiskMark, ATTO, AS SSD, and the Real Meaning Behind Benchmark Numbers If you’ve ever looked at SSD reviews, product specifications, or benchmark screenshots, you’ve probably noticed something confusing:\u00a0 The same SSD might achieve 7,400 MB\/s in one test, 6,800 MB\/s in another, and an entirely different score in a third benchmark. So which result…<\/p>","protected":false},"author":3,"featured_media":4253,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4252","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"yoast_head":"\n
\nWhy SSD Performance Numbers Can Be Misleading<\/h1>\n
\n
\n\n\n\n
\n \nSSD<\/th>\n \u041f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0435 \u0447\u0442\u0435\u043d\u0438\u0435<\/th>\n Sequential Write<\/th>\n<\/tr>\n<\/thead>\n \n \u0422\u0432\u0435\u0440\u0434\u043e\u0442\u0435\u043b\u044c\u043d\u044b\u0439 \u043d\u0430\u043a\u043e\u043f\u0438\u0442\u0435\u043b\u044c PCIe 4.0 NVMe<\/td>\n 7 000 \u041c\u0411\/\u0441<\/td>\n 6,500 MB\/s<\/td>\n<\/tr>\n \n PCIe 5.0 NVMe SSD<\/td>\n 14,000 MB\/s<\/td>\n 12,000 MB\/s<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n
\nThe Key Metrics Used in SSD Testing<\/h1>\n
\u041f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435<\/h2>\n
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\n\u0421\u043b\u0443\u0447\u0430\u0439\u043d\u043e\u0435 \u0438\u0441\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0435<\/h2>\n
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\nQueue Depth (QD)<\/h2>\n
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\n\u041b\u0430\u0442\u0435\u043d\u0442\u043d\u043e\u0441\u0442\u044c<\/h2>\n
\nCrystalDiskMark: The Most Popular SSD Benchmark<\/h1>\n
What It Measures<\/h3>\n
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\nWhy Manufacturers Like It<\/h3>\n
\n\u0421\u0438\u043b\u044c\u043d\u044b\u0435 \u0441\u0442\u043e\u0440\u043e\u043d\u044b<\/h3>\n
\n\u041e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u0438\u044f<\/h3>\n
\nATTO Disk Benchmark: The Traditional Industry Standard<\/h1>\n
\nHow ATTO Works<\/h2>\n
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\nWhy ATTO Often Produces Higher Numbers<\/h2>\n
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\nAS SSD Benchmark: A More Realistic Approach<\/h1>\n
\n\u041f\u043e\u0447\u0435\u043c\u0443 \u044d\u0442\u043e \u0432\u0430\u0436\u043d\u043e<\/h2>\n
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\nTypical Results<\/h2>\n
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\nWhy Benchmark Results Differ So Much<\/h1>\n
\n1. Different Data Patterns<\/h2>\n
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\n2. Different Queue Depths<\/h2>\n
\n3. Different Block Sizes<\/h2>\n
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\n4. SLC Cache Behavior<\/h2>\n
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\n5. Thermal Conditions<\/h2>\n
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\n6. Platform Differences<\/h2>\n
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\nSynthetic Benchmarks vs Real-World Performance<\/h1>\n
\n\n\n\n
\n \nSSD<\/th>\n \u041f\u043e\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0435 \u0447\u0442\u0435\u043d\u0438\u0435<\/th>\n<\/tr>\n<\/thead>\n \n SSD A<\/td>\n 7 000 \u041c\u0411\/\u0441<\/td>\n<\/tr>\n \n SSD B<\/td>\n 5,000 MB\/s<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n \n
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\nWhat Specifications Actually Matter in 2026?<\/h1>\n
Controller Quality<\/h2>\n
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\nNAND Flash Quality<\/h2>\n
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\nSustained Write Performance<\/h2>\n
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\nThermal Design<\/h2>\n
\nFirmware Optimization<\/h2>\n
\nHow to Interpret SSD Benchmark Results Correctly<\/h1>\n
\n\u0417\u0430\u043a\u043b\u044e\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u044b\u0435 \u0440\u0430\u0437\u043c\u044b\u0448\u043b\u0435\u043d\u0438\u044f<\/h1>\n