Unity relies on the CPU (heavily optimized for the SIMD part of it, like SSE on x86 or NEON on ARM) for skinningThe process of binding bone joints to the vertices of a character’s mesh or ‘skin’. Performed with an external tool, such as Blender or Autodesk Maya. More info
See in Glossary, batching, physics, user scriptsA piece of code that allows you to create your own Components, trigger game events, modify Component properties over time and respond to user input in any way you like. More info
See in Glossary, particles, etc.
The GPU is used for shadersA small script that contains the mathematical calculations and algorithms for calculating the Color of each pixel rendered, based on the lighting input and the Material configuration. More info
See in Glossary, drawcalls, image effects.
A large majority of problems (80%) are produced by a few key causes (20%). You can use the Editor profiler to identify the most processor-intensive function calls and optimize them first. Often, optimizing a few key functions can give a significant increase in overall execution speed.
You should make sure that functions are only executed when really necessary. For example, you can use events like OnBecameVisible and OnBecameInvisible to detect when an object can’t be seen and avoid updating it. Coroutines can be a useful way to call code that needs regular updates but doesn’t need to run every frame:-
// Do some stuff every frame:
void Update () {
}
//Do some stuff every 0.2 seconds:
IEnumerator SlowUpdate () {
while (true) {
//do something
yield return new WaitForSeconds (0.2f);
}
}
You can use the .NET System.Threading.Thread class to run heavy calculations on a separate thread. This allows you to run on multiple cores but note that the Unity API is not thread-safe - you need to buffer inputs and results and read and assign them on the main thread in order to use Unity API calls.
Not all of the user code is shown in the Profiler. But you can use Profiler.BeginSample and Profiler.EndSample to make the required user code appear in the profiler.
The Unity Editor profiler cannot show GPU data as of now. We’re working with hardware manufacturers to make it happen with the Tegra devices being the first to appear in the Editor profiler.
PowerVR is tile based deferred renderer, so it’s impossible to get GPU timings per draw call. However you can get GPU times for the whole scene using Unity’s built-in profiler (the one that prints results to Xcode output). Apple’s tools currently can only tell you how busy the GPU and its parts are, but do not give times in milliseconds.
PVRUniSCo gives cycles for the whole shader, and approximate cycles for each line in the shader code. Windows & Mac! But it won’t match what Apple’s drivers are doing exactly anyway. Still, a good ballpark measure.
On Tegra, NVIDIA provides excellent performance tools which does everything you want - GPU time per draw call, Cycles per shader, Force 2x2 texture, Null view rectangle, runs on Windows, OSX, Linux. PerfHUD ES does not easily work with consumer devices, you need the development board from NVIDIA.
Qualcomm provides excellent Adreno Profiler (Windows only) which is Windows only, but works with consumer devices! It features TimelineGeneric term within Unity that refers to all features, windows, editors, and components related to creating, modifying, or reusing cut-scenes, cinematics, and game-play sequences. More info
See in Glossary graphs, frame capture, Frame debug, API calls, Shader analyzer, live editing.
The internal profiler gives a good overview per module:
Ports that the Unity profiler uses:
They should be accessible from within the network node. That is, the devices that you’re trying to profile on should be able to see these ports on the machine with the Unity Editor with the Profiler on.
There are two types of memory, Mono memory and Unity memory.
Mono memory handles script objects, wrappers for Unity objects (game objects, assets, components, etc). Garbage Collector cleans up when the allocation does not fit in the available memory or on a System.GC.Collect() call.
Memory is allocated in heap blocks. More can allocated if it cannot fit the data into the allocated block. Heap blocks will be kept in Mono until the app is closed. In other words, Mono does not release any memory used to the OS (Unity 3.x). Once you allocate a certain amount of memory, it is reserved for mono and not available for the OS. Even when you release it, it will become available internally for Mono only and not for the OS. The heap memory value in the Profiler will only increase, never decrease.
If the system cannot fit new data into the allocated heap block, the Mono calls a “GC” and can allocate a new heap block (for example, due to fragmentation).
“Too many heap sections” means you’ve run out of Mono memory (because of fragmentation or heavy usage).
Use System.GC.GetTotalMemory to get the total used Mono memory.
The general advice is, use as small an allocation as possible.
Unity memory handles Asset data (Textures, Meshes, Audio, Animation, etc), Game objects, Engine internals (Rendering, Particles, Physics, etc).
Use Profiler.usedHeapSize to get the total used Unity memory.
No tools yet but you can use the following.
You can also make your own tool using Unity API calls:-
FindObjectsOfTypeAll (type : Type) : Object[]FindObjectsOfType (type : Type): Object[]GetRuntimeMemorySize (o : Object) : intGetMonoHeapSizeGetMonoUsedSizeProfiler.BeginSample/EndSample - profile your own codeUnloadUnusedAssets () : AsyncOperationSystem.GC.GetTotalMemory/Profiler.usedHeapSizeReferences to the loaded objects - There is no way to figure this out. A workaround is to “Find references in scene” for public variables.
OnGUI() on mobiles: it shoots several times per frame, completely redraws the view and creates tons of memory allocation calls that require Garbage Collection to be invoked.System.GC.Collect() You can use this .Net function when it’s ok to have a hiccup.At some points a game may crash with “out of memory” though it in theory it should fit in fine. When this happens compare your normal game memory footprint and the allocated memory size when the crash happens. If the numbers are not similar, then there is a memory spike. This might be due to: