What is Gears, and who should use it?
Gears is a free runtime profiling tool from GameOptim. It is suitable for client engineers, QA, graphics engineers, and technical artists who need daily performance checks and optimization validation.
Gears
Gears is a free runtime profiling tool from GameOptim for CPU, GPU, and app runtime performance diagnosis and optimization.
What is Gears?
Gears is a free runtime profiling tool from GameOptim for development and QA teams to quickly locate and validate CPU, GPU, and app runtime performance issues.
What Can Gears Do For You?
App Runtime Performance Analysis
Detect various important performance indicators when App runs on mobile devices, including FPS, memory, temperature, and power consumption. Developers can comprehensively understand App performance at different runtime moments, timely discover and solve performance issues, optimize user experience.
CPU Performance Analysis
Provide detailed CPU performance data, mainly including CPU load and usage frequency and other important performance indicators. Developers can quickly locate CPU-side performance bottlenecks, understand App's CPU resource usage during runtime, and perform targeted optimization.
GPU Performance Analysis
Support performance data monitoring for multiple mobile GPU chips, mainly including GPU Clocks, bandwidth, and Shader-related performance parameters.
Developers can quickly locate GPU-side performance bottlenecks and optimize graphics processing performance, ensuring App runs smoothly even under complex rendering tasks, improving overall user
experience.
Support Multiple Testing Methods
Currently supports Android devices and mainstream Android emulators for testing, supports both USB and WiFi connection methods, ensuring developers obtain accurate performance data in various environments.
App Runtime Performance Analysis
Detect various important performance indicators when App runs on mobile devices, including FPS, memory, temperature, and power consumption. Developers can comprehensively understand App performance at different runtime moments, timely discover and solve performance issues, optimize user experience.
CPU Performance Analysis
Provide detailed CPU performance data, mainly including CPU load and usage frequency and other important performance indicators. Developers can quickly locate CPU-side performance bottlenecks, understand App's CPU resource usage during runtime, and perform targeted optimization.
GPU Performance Analysis
Support performance data monitoring for multiple mobile GPU chips, mainly including GPU Clocks, bandwidth, and Shader-related performance parameters.
Developers can quickly locate GPU-side performance bottlenecks and optimize graphics processing performance, ensuring App runs smoothly even under complex rendering tasks, improving overall user
experience.Support Multiple Testing Methods
Currently supports Android devices and mainstream Android emulators for testing, supports both USB and WiFi connection methods, ensuring developers obtain accurate performance data in various environments.
Detailed Rendering Frame Analysis
Developers can view and analyze detailed rendering processes, instructions, and parameters of each frame, can analyze Render Pass and Draw Call one by one, can also view rendering resources such as Texture, Mesh, Shader one by one, comprehensively understand and master rendering details during App runtime.
Rendering Event Analysis
By viewing each rendering event (function), can master the specific content, detailed parameters, and GPU performance of each rendering operation at the GPU bottom layer, quickly locate and solve rendering problems.
Rendering Resource Analysis
Can view rendering resource details of one or more rendering events in detail, such as textures used in rendering and their related formats, sizes, rendering meshes and their detailed rendering information, assisting developers to quickly locate and optimize problem resources.
Shader Resource Analysis
Can view Shader compilation code of each rendering event in detail, and can edit code in real-time, preview modification effects on real devices in real-time, convenient for developers to quickly solve rendering problems and optimize Shader runtime efficiency.
Process Flow Diagram
Display current frame's rendering flow on GPU side, convenient for developers to understand underlying rendering logic and execution flow, quickly discover unnecessary or wasteful rendering operations.
Verifiable Gears Capabilities
Gears is positioned as a free tool for daily runtime performance checks and first-pass bottleneck discovery.
No SDK integration is required, so teams can start runtime analysis with a low adoption barrier.
Supports Android devices and mainstream Android emulators, with both USB and WiFi connection methods.
Complements GOT Online in one workflow: quick discovery with Gears, deeper diagnostics with GOT Online.
How to Choose Between Gears and GOT Online
Adoption Barrier
Gears: no SDK integration, ideal for quick onboarding and daily checks.
GOT Online: better for teams needing a structured optimization workflow.
Primary Goal
Gears: fast runtime bottleneck discovery and optimization validation.
GOT Online: deeper root-cause diagnostics and cross-version governance.
Collaboration Pattern
Gears: better for individual or small-scope rapid investigations.
GOT Online: supports cross-role collaboration, report sharing, and continuous tracking.
Recommended Path
Gears: start here as a low-cost daily performance entry point.
GOT Online: add when you need complex diagnostics and long-term performance governance.
Gears FAQ
Is Gears free, and does it require SDK integration?
Gears is currently positioned as a free tool, and it does not require SDK integration to start runtime analysis.
What platforms and connection methods does Gears support?
Based on the current product capabilities, Gears supports Android devices and mainstream Android emulators, with USB and WiFi connection methods.
Which runtime metrics can Gears monitor?
Gears helps teams observe key runtime signals such as FPS, memory, temperature, and power consumption, then locate abnormal time windows.
What can teams see in Gears CPU analysis?
Gears provides key CPU data such as load and frequency, helping teams identify CPU-side bottlenecks and abnormal resource usage.
What can teams see in Gears GPU analysis?
Gears supports mobile GPU performance monitoring, including GPU clocks, bandwidth, and shader-related signals to locate GPU-side bottlenecks.
What does Frame Capture mode help with?
Frame Capture mode supports frame-level rendering analysis. Teams can inspect Render Pass, Draw Call, rendering events, and parameters to find high-cost rendering stages quickly.
Which rendering resources can Gears analyze?
Gears can inspect resources such as Texture, Mesh, and Shader details, helping teams identify problematic assets and optimize them faster.
What is the difference between Gears and GOT Online?
Gears is designed for no-SDK, lightweight, and fast runtime analysis, while GOT Online is designed for deeper project-level diagnostics, collaboration, and continuous optimization governance.
When should teams prioritize Gears first?
Use Gears first for daily checks, issue reproduction, and first-pass bottleneck discovery. For cross-module long-term governance and complex root-cause analysis, combine it with GOT Online.
Why Choose Gears?
Comprehensive Features
Comprehensive system performance mastery, full GPU rendering analysis
Simple and Easy
No SDK integration required, plug and play
Professional Team
Nine years of deep cultivation, focused on performance optimization
Real-Time Performance Monitoring
Real-time second-level updates, master App runtime status
Powerful Graphics Analysis
In-depth analysis of rendering frames, assist graphics performance optimization