![]() Each data track is a subset of the metric, and the number of tracks varies depending on the application. Rendering Stage – Each Rendering Stage in Snapdragon Profiler is a metric that represents the app’s execution on the GPU. The sections in the Trace Capture mode screenshot correspond to three important metrics to start with: While no single metric can show you where your performance problems lie and how to address them, Snapdragon Profiler lets you examine dozens of metrics to understand how your app is interacting with the hardware. Since a typical platform has a 60Hz Vsync, 30Hz or 60Hz are the only acceptable targets. Note also that applications should choose to hit frame rates that are divisors or multiples of their platform’s Vsync rate. That suggests that the app is dropping frames, which harms performance. While 42 fps may suffice as an average, the range (blue line) periodically falls as low as 37.322 fps. The screenshot below shows an average (light blue line) of 42.022 fps. In both cases, Snapdragon Profiler can take you straight to the performance level of your app in fps. The spikes hamper animation, so you will want to smooth those out by identifying the problems and modifying your code. If you have optimized your app, you may be closer to your average but still have periodic spikes in the frame rate. If your app is not optimized, the average frame rate may be lower than your target and the app will not reach its desired performance level. User experience then suffers from stuttering and glitches, and motion is not smooth, so your app would benefit from optimization. Even though your average stays close to your target frame rate, occasional long frames may miss that target. Another aspect is consistency of the frame rate. One aspect of this is the average frame rate, which measures how fast the app runs on average. Games usually run best at 30 or 60 frames per second (fps), and sometimes higher for virtual and extended reality (VR/XR) applications. Even if you do not, it is recommended to examine the app’s current, overall performance to identify bottlenecks.įrame rate is an ideal place to start. You may already know that you have a performance problem before you start using Snapdragon Profiler. Building Unreal Engine from source to enable Windows Arm cross-compile.Key differences between Adreno and Desktop GPUs.Launching for GPU capture on the Arm64 target.Connecting to Remote Debugger from Visual Studio.Installing and configuring the Arm64 target device.Installing and configuring Visual Studio on the Development Host.Get Started with Windows on Arm64 Development.Get the luminance of display on Android.Academy Color Encoding System (ACES) tonemapping. ![]()
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