GPU Usage Profiler module

The GPU Usage Profiler module displays where your application spends time in the GPU. You can only use the GPU Profiler in Playmode, or for builds of your application. You cannot use it to profile the Editor.

The GPU Usage Profiler in the Profiler Window

Note: If you have Graphics Jobs enabled in the Player Settings, GPU profiling is not supported. For more information, see the documentation on Standalone Player Settings. Additionally, on macOS, you can only profile the GPU on Mavericks 10.9 or later.

GPU profiling support

The following table lists the platforms that the GPU Usage Profiler module supports:

Platform	Graphics API	Status
Windows	DirectX 11, DirectX 12, OpenGL	Soportado
	Vulkan	Not supported
macOS	OpenGL	Supported. Note: Apple has deprecated support of OpenGL.
	Metal	Not supported. Use XCode’s GPU Frame Debugger UI instead.
Linux	OpenGL core	Soportado
	Vulkan	Not supported
PlayStation 4	libgnm	Supported.
Xbox One	DirectX 11, DirectX 12	Supported.
Switch	Switch API	Soportado
WebGL	All WebGL	Not supported
Android	OpenGL	Supported on devices running NVIDIA or Intel GPUs.
	Vulkan	Not supported
iOS, tvOS	Metal	Not supported. Use XCode’s GPU Frame Debugger UI instead.
Tizen	OpenGL	Not supported.

On Windows, Unity supports Playmode profiling in the Editor with Direct3D 9 and Direct3D 11 APIs only. This is convenient for quick profiling, because it means you don’t need to build the Player; however, the overhead of running the Unity Editor affects the Profiler, which might make the profiling results less accurate.

Chart categories

The GPU Usage Profiler module’s chart has several different categories that you can use to investigate GPU timings. To change the order of the categories in the chart, you can drag and drop them in the chart’s legend. You can also click a category’s colored legend to toggle its display.

Chart category	Descripción
Opaque	Built-in rendering pipeline’s time to render opaque objects
Transparent	Built-in rendering pipeline’s time to render transparent objects
Shadows/Depth	Built-in rendering pipeline’s time to render shadow maps
Deferred PrePass	Built-in deferred rendering pipeline’s time to render depth buffer pre pass.
Deferred Lighting	Built-in deferred rendering pipeline’s time to do lighting.
PostProcess	Built-in rendering pipeline’s time to process post processing effects.
Other	Rendering time to process other things such as Scriptable Rendering Pipelines

Module details pane

When you select the GPU Usage module, the details pane below it displays a breakdown of where the application spent time in the selected frame. You can display the timing data as a hierarchical table. To change the table views, use the top-left dropdown in the details pane (set to Hierarchy by default). The views available are:

View	Función:
Hierarchy	Groups the timing data by its internal hierarchical structure. This option displays the elements that your application called in a descending list format, ordered by the time spent by default. You can also order the information by the total amount of GPU time, or the number of calls. To change the column that orders the table, click the table column’s header.
Raw Hierarchy	Displays the timing data in a hierarchical structure that is similar to the call stacks where the timing occurred. Unity lists each call stack separately in this mode instead of merging them, as it does in Hierarchy view.

When you select the GPU Usage Profiler module, the lower pane of the Profiler displays hierarchical time data for the selected frame. Select an item from the Hierarchy to see a breakdown of contributions in the right-hand panel. See documentation on the Profiler window to learn more about the Profiler window’s functionality.

The table views have the following columns:

Column	Función:
Total	The total amount of time Unity spent on a particular function, as a percentage.
DrawCalls	The number of calls made to this function in this frame.
GPU ms	The total amount of time Unity spent on a particular function, in milliseconds.

Global Illumination Profiler module

Memory Profiler module