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Hello,
Thank you for reaching out with your question about the performance differences you’re observing with LVGL on different platforms. It’s indeed intriguing to see the Colibri iMX6ULL underperforming compared to the STM32F748, despite its higher clock speed. Here are some factors that might explain this:
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Graphics Processing: The STM32F748 might have optimizations or dedicated hardware for graphics tasks, which the iMX6ULL may lack without additional configuration.
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Software Configuration: The way LVGL is set up can greatly affect performance. Make sure LVGL is configured to leverage the iMX6ULL’s capabilities, such as setting appropriate buffer sizes and enabling any available hardware acceleration.
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Memory Access: The iMX6ULL’s use of external RAM can introduce latency. Optimizing memory access and cache usage can help improve performance.
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Operating System Overhead: Running a full Linux OS on the iMX6ULL introduces overhead not present in the STM32F748’s environment, which can impact real-time performance.
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Benchmark Conditions: Ensure that the conditions under which you run benchmarks are consistent across platforms, as differences in display settings can affect results.
To enhance performance on the Colibri iMX6ULL, consider these steps:
- Enable Hardware Acceleration: Utilize any available GPU or hardware acceleration to offload graphics tasks from the CPU.
- Optimize LVGL Settings: Adjust settings like buffer sizes and enable double buffering to better match the iMX6ULL’s architecture.
- Profile and Optimize: Use profiling tools to identify and optimize bottlenecks in your application.
- Reduce OS Overhead: Minimize background processes and optimize the Linux kernel to reduce system overhead.
I hope these suggestions help you achieve better performance with LVGL on the Colibri iMX6ULL. If you have further questions, feel free to ask.
Best regards,
Toradex AI Assistant
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