STM32MP1 Browser Performance: Difference between revisions
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== Performance Tests == | == Performance Tests == | ||
=== "Infragistics Ignite UI" Demo Application === | === "Infragistics Ignite UI" Demo Application === | ||
[[File:Infragistics.png|frameless]] | [[File:Infragistics.png|frameless]]<br> | ||
The "Infragistics Ignite UI" is a commercial WebUI framework based on Angular. <br> | The "Infragistics Ignite UI" is a commercial WebUI framework based on Angular. <br> | ||
It has many web controls for many purposes and was used for an performance test. | It has many web controls for many purposes and was used for an performance test. | ||
[[File:BardiagramIgnite.png|frameless]] | [[File:BardiagramIgnite.png|frameless]]<br> | ||
To open the screen in the above screenshot it takes approx. 3 seconds from menu click until content is fully visible | To open the screen in the above screenshot it takes approx. 3 seconds from menu click until content is fully visible | ||
[[File:ChromeProfilingIgnite.png|thumb]] | |||
The Chrome Profiler shows the following: | |||
* the CPU does most of the work | |||
* there is no obvious point where CPU cycles would�be spent excessively (perf doesn't indicate anything). | |||
* approx. 70% of the time is spent interpreting Javascript. This is also to be expected, since this angular is full of complex Javascript. | |||
* But that also means the slowness is caused by the�CPU / website | |||
* not much the GPU can do about this. | |||
=== QOpenGLWidget Example === | === QOpenGLWidget Example === | ||
Revision as of 13:27, 1 June 2021
Tasks of the GPU
- For „simple“ webpages without 3D-features, the GPU is only used for „blitting“during a process step called „Raster(ization) and Compositing“
- „blitting“ = fast copy and move of memory objects
- By this, a strong relief of the CPU can be achieved
- this should be well possible with the STM32MP1
Performance Tests
"Infragistics Ignite UI" Demo Application
![]()
The "Infragistics Ignite UI" is a commercial WebUI framework based on Angular.
It has many web controls for many purposes and was used for an performance test.
![]()
To open the screen in the above screenshot it takes approx. 3 seconds from menu click until content is fully visible

The Chrome Profiler shows the following:
- the CPU does most of the work
- there is no obvious point where CPU cycles would�be spent excessively (perf doesn't indicate anything).
- approx. 70% of the time is spent interpreting Javascript. This is also to be expected, since this angular is full of complex Javascript.
- But that also means the slowness is caused by the�CPU / website
- not much the GPU can do about this.
QOpenGLWidget Example
Line-Chart Demo Application
with GPU
https://www.dropbox.com/s/323nv90lhp9wh02/mit_GPU.MP4?dl=0
no GPU
https://www.dropbox.com/s/kprvgowf8kzod6a/ohne_GPU.MP4?dl=0
DH demo from tradeshow
Webgl example (aquarium)
Functional GPU testing
Some Toughts about Javascript performance
Profiling with Chromium
Brief summary
- Webapplications must be optimized for particular embedded system resp. SOC
- Comprehensive analysis and profiling tools are available
- Thus, appealing web pages on embedded systems should be possible
- … where also the “responsiveness" is given