skinnyliner.blogg.se - Hardware benchmark testing

#Hardware benchmark testing software#
#Hardware benchmark testing Pc#
#Hardware benchmark testing series#
#Hardware benchmark testing download#

These factors are important in determining a good benchmark software for testing a device unit. The best benchmarks software should be detailed, cross-platform and up-to-date with the latest hardware devices available in the market. Benchmark software is safe to use as long as the program comes from a legitimate source. Users may also encounter overheating during stress tests, which may only cause damage if left running for an extended period.

#Hardware benchmark testing Pc#

Most benchmark software measures the performance of a device’s processor and memory, but many tools also perform graphics card tests, which are useful when setting up a gaming PC or a workstation for graphics-intensive tasks like 3D modeling and video editing.īenchmark software benefits users by giving important device performance metrics so that users can plan on upgrading individual components or detect problems with components already present on the device. Benchmarking compares different devices to monitor whether a computer is performing optimally.

#Hardware benchmark testing series#

for smaller websites, that may be a significant share of your server load.Benchmark software refers to a program running a series of tests on specific hardware, simulating the tasks a device regularly performs. If you make your calculation based on actual users, you are discarding background stress placed on your server by Google/Shodan/Vulnerability Scanners/Botnets/.If necessary, compare dynamic (wsgi, fcgi) requests separately from static content (css, images, js)

Some requests may place many orders of magnitude more stress on your limited server resources, so counting requests cannot fully account for actual load.

This is 60x difference, so as I approach 60 times my current user peak, I will have to expect increased load times or even failures.ĭo not expect such calculation to give you more than a very rough idea of what kind of userbase you will be able to serve concurrently: My server can complete about 150 requests per second, so I do not expect any significant delay for 150 per minute.

25 * 3/min * 2 requests = 150 requests per minute.

2 requests (1 html, 1 css) per page opened (upper bound, caching reduces actual number).

3 pages navigated by each user per minute.

You have to estimate that for your website: One website may require 2 requests, per user, per day.Īnother website may require 200+ request, per user, per minute.įor a rough estimate, open your favorite browsers web development tools, watch how many requests a typical page open consists of, make an educated guess how many pages are opened by any unique user per minute. Those two measurements are not universally related in the same way.

Once done you can run the load test against your system to see whether it works find for the expected number of users.Īnd finally you can increase the number of users till anticipated maximum or when response time becomes too high or you start seeing errors. So first of all ensure that your load test 100% matches the network footprint which is produced by the real user using the real browser in terms of cookies, headers, cache, think times, etc.

Stress Testing - when you're trying to identify the breaking point of your system or the first bottleneck by starting with 1 virtual user and gradually increasing the load until response time exceeds acceptable threshold or errors start occurring (whatever comes the first).

5 users and see whether it is capable to provide reasonably low response time

Load Testing - when you put your system under anticipated load, i.e.There are 2 main types of performance testing: Check out What is the Relationship Between Users and Hits Per Second? article for example real life use case.

#Hardware benchmark testing download#

Your calculations look a little bit weird, maybe your application is very exotic, however normally 1 user doesn't perform 100+ requests per second, more likely it would be something like 1 request per several seconds + X requests to download embedded resources (images, scripts, styles, fonts) and eventually AJAX requests.