![]() Here’s a look at how Pro Data measures up using the macOS GUI benchmarks cited above, on both RAID-0 and RAID-6 containers with our latest firmware: Pro Data Benchmark Results 3Ģ021 M1 Pro MacBook Pro, macOS 12.3 Monterey In other words, nothing simulates a workload better than having real applications perform common tasks. The issue here is not only with transparency, but with the synthetic nature of the simulation. When a benchmark utility stresses a storage device to see how well it can keep up with multiple requests, the above factors are tweaked to simulate what it assumes is a typical workload. Peak SSD storage performance is always going to be achieved with a highly concurrent workload, such as playback of multiple 4K video streams. When a storage device cannot either process or buffer these threads of batched commands as quickly as they are made, then performance degrades. Applications make read/write requests to a storage device in batches the number of requests in a batch is commonly referred to as queue depth, as is the number of requests a device can receive at a time. Different benchmarks use different block sizes and alignments, which accounts for part of the variation seen above, and may not match the sizes used by your workload.Ĭoncurrency. Most storage devices are assigned an LBA of 4KB due to a legacy of smaller file sizes, however this means that most files are broken up into many more blocks, which can flood the command queue, explained further below. ![]() These refer to the amount of data read/written for each operation, and how well that size aligns with on-media logical block addresses (LBA). In profiling Pro Data, our goal quickly shifted to demystifying why results vary so widely by measuring the following key factors that affect storage performance during testing.īlocksize and Alignment. Typical benchmarks don’t tend to give much insight into what is being measured, or provide tunable properties that can simulate real-world workloads. Of course, not everyone loves the command line, so we went down the GUI benchmark rabbit hole, and there were met by the big GO button. The multi-path results above show the use of our unique Thunderbolt NVMe Multipathing, with two Thunderbolt cables connected to Pro Data to reach even higher performance levels. ![]() Pro Data fio Benchmark Results 2ġ6GB I/O total, queue depth 8, 256K blocksize Single Path (R/W MB ps) Below are our results using the exact parameters Apple uses to benchmark internal SSDs in its latest M1 Macs. Instead, let’s unpack a few key factors that affect results behind the scenes, then reexamine how we might consider benchmarks in making storage investments.Īs storage nerds, we typically test using the open-source and highly-configurable Linux utility “ fio” (Flexible I/O Tester) to ensure the best possible performance across a wide range of workloads. ![]() While our engineering team has spent decades tuning storage performance, you shouldn’t need a graduate course to get the gist. What’s going on here? How can Amorphous report to read so much faster, and why are AJA’s writes so slow? Imagine paying for the promise of “up to” performance, and not getting anywhere close to those numbers.
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