Yoda Response: Optimizing an application to reduce resource consumption without compromising functionality, crucial it is, especially in automotive software. Share an example, I will.

Worked on an Android-based in-vehicle infotainment (IVI) system running on an SoC platform with multiple displays, I did. Needed to perform efficiently, minimize latency, and ensure low power consumption, it did.

1. **Profiling and Identification**:
   - Used performance profiling tools in Android Studio, such as the profiler and system trace, to identify bottlenecks, I did.
   - Monitored CPU usage, memory consumption, and power consumption to pinpoint areas of high resource usage.

2. **Optimize CPU Usage**:
   - Managed threads efficiently by moving tasks off the main UI thread to background threads, reducing latency, I did.
   - Applied efficient coding practices to avoid unnecessary computations and loops. Used efficient data structures and algorithms to reduce CPU overhead.

3. **Reduce Memory Consumption**:
   - Used tools like LeakCanary to detect and fix memory leaks, I did.
   - Managed the lifecycle of activities and fragments properly to avoid holding onto unnecessary references.
   - Optimized bitmap loading by resizing images and using BitmapFactory options. Implemented caching to store frequently used bitmaps.

4. **Optimize I/O Operations**:
   - Streamlined I/O operations to reduce latency and improve performance, I did.

5. **Power Optimization**:
   - Used power profiling tools to monitor battery usage and identify power-hungry components, I did.
   - Optimized the use of wake locks to ensure they were held only when necessary, avoiding unnecessary battery drain.

After implementing these optimizations, significant improvements in performance, reduced CPU usage, lower memory consumption, and enhanced power efficiency, the IVI system demonstrated. A smoother user experience and extended battery life, it provided.