hIOmon SSD Performance Monitor - Understanding desktop usage patterns.

[Ao1]

Here I monitor statistics, post boot, for 30 minutes with a single SSD. I multitasked as I would normally do and opened and used the typical applications/ games that I use.



Now I try to consider the IOPS that occurred in use vs the IOPS capability of my drive. To do this I consider average queue depth and average latency readings to get some ball park figures using the following formula:

Queue depth*(1/.latency in ms) = IOPS (in seconds)

Based on the average latency of 0.49ms

• Queue depth 1 x (1/0.00049) = 2,040 IOPS
• Queue depth 64 x (1/0.00049) = 130,612 IOPS

My average queue depth is 1.57

• 1.57 x (1/0.0049) = 3,204 IOPS

My maximum IOP count occurred during boot @ 190 IOPS, but my SSD is capable of 3,204 IOPS based on average latency and queue depth.

I know there could be a lot of variables to the averages but have I got that correct as a ball park figure?