why is performance important can help me find some data as to how is it beneficial?

Performance is a critical aspect of software development for several reasons, as highlighted in the Explore Swift performance session at WWDC 2024. Here are some key points:

1. User Experience: Performance issues can lead to a poor user experience. For example, a UI that feels slow or unresponsive can frustrate users. Optimizing performance ensures that applications run smoothly and efficiently, providing a better experience for the end-user.

2. Resource Management: Efficient performance helps in managing resources better. For instance, drawing too much power can drain battery life quickly, which is particularly important for mobile devices. By optimizing performance, you can ensure that your application uses resources like CPU, memory, and battery more efficiently.

3. Problem Diagnosis: Performance is multidimensional and situational. Tools like Instruments can help identify performance bottlenecks, allowing developers to make targeted improvements. This can involve algorithmic changes or low-level code optimizations.

4. Optimization Potential: Swift has a powerful optimizer, but the way code is written can significantly impact how much optimization the compiler can perform. Regularly monitoring performance and automating measurements can help identify regressions and ensure that the optimizer is working effectively.

5. Low-Level Performance: Sometimes, improving performance requires a deep understanding of how code is executed. This involves looking at function calls, memory allocation, memory layout, and value copying. Each of these areas has associated costs that can be optimized to improve overall performance.

For more detailed insights, you can refer to the chapters in the Explore Swift performance session:

• What is performance?
• Low-level principles
• Function calls
• Memory allocation
• Memory layout
• Value copying

Additionally, performance tools in Core ML, as discussed in the Deploy machine learning and AI models on-device with Core ML session, can help identify bottlenecks in machine learning models, making it easier to optimize and improve performance.

By focusing on these aspects, developers can ensure that their applications are not only functional but also efficient and user-friendly.