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This will modify the simulated frame as well as the rendered frame on your device if it’s still connected! Analyzing the performance of C/C++ code from Android applications using Intel® VTune™ Amplifier You can see and modify these shaders and even modify the values they’re receiving. The primitives and the associated Vertex Buffer Objects You can see all the draw calls that have been made on the left side and the associated simulated OpenGL ES framebuffer on the right side.Ī double click on one of these draw calls will allow you to inspect all steps of the OpenGL ES pipeline associated with the draw call, among these: Once it’s done, go back to the previous view and select the captured frame: Otherwise, only the ones with Internet permission and the debuggable flags set to true:ĭouble-click to launch one and click on “capture” to get a frame. Just like previously with Intel GPA System Analyzer, you may analyze any application on a rooted device. This will show you a list of applications that you may, or may not, have the right to analyze.

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It’s once again a free tool you can get from this dedicated page or INDE and fully works on most Android devices.Īs of now, it can be run on Windows 7/8.x platforms only.įirst add a frame from a device by clicking “Add”: Intel Frame Debugger is used to capture and fully debug OpenGL frames. Then no graphics will be rendered, but if the FPS improves, the bottleneck isn’t on the OpenGL* side.Ī more in-depth article on Intel GPA along with a sample code is available here: Debugging an OpenGL rendered view using Intel® Frame Debugger With all the textures set to a simple 2x2 one: This will help you determine the current bottleneck in your application: In addition to these real-time values, you have the ability to trigger “state overrides” from the bottom left of the window. You may not get hardware-specific metrics on every device as their support varies, but you’ll have at least: Target App CPU Load, RAM usage, Device and Network IOs, OpenGL* metrics (draw calls, vertex count, frame time). Selecting one will trigger its launch on the device, along with its real-time analysis:įrom there, you can drag&drop any metric from the left side to see its value evolve in real time. Now, when running Intel GPA System Analyzer, you first get a list of applications running on the device you’ve chosen: In Eclipse: disable “HardcodedDebugMode” in Lint Error checking inside Android Preferences. You can manually set this flag to true in your manifest, but lint will complain about it and cause your build to abort. But when it comes to analyzing the real performance of an application, you want to run a version that has been optimized for release! Setting the debuggable flag to true in the AndroidManifest is done automatically when you’re doing a debug build with gradle or ant / Android Studio or Eclipse*. Otherwise, it can only analyze apps with Internet permission and the debuggable flag set to true. If your device is rooted, this tool can analyze any application installed on the device. It’s a free tool, part of the Intel GPA suite you can get from this dedicated page or INDE.

Intel GPA System Analyzer can run on: Windows* 7/8.x, Mac* OS X*, and Linux* and can be used to analyze apps running on almost any Android 4.x device connected over ADB. Getting a high-level view of how your app is performing using Intel® GPA System Analyzer. Getting a high level view of how your app is performing, using GPA System Analyzer.ĭebugging an OpenGL rendered view, using Intel® Frame Debugger.Īnalyzing the performance of C/C++ code from Android applications, using Intel® VTune Amplifier. We have tested these Intel tools and successfully used them on the ARM Android devices listed here, but basically any Android 4.x device is probably compatible. Since their latest releases (2014 R2 as of now), Intel® Graphics Performance Analyzers (Intel® GPA), Intel® Frame Debugger, and Intel® VTune™ Amplifier are able to support most mainstream Android 4.x devices, regardless of their architecture (ARM* or x86).

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While basically every hardware and chip manufacturer provides a set of custom tools for this, developers can find it cumbersome to install and learn how to use all of them. When developing an Android* application, you usually need to test, optimize, and debug on many different platforms.

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