Ailia.dll Better

| Hardware | Backend | Inference Time (ms) | FPS | |----------|---------|---------------------|-----| | Intel Core i7-1260P (x86) | CPU (AVX2) | 23 | 43 | | Raspberry Pi 4 (ARM Cortex-A72) | CPU (NEON) | 120 | 8 | | NVIDIA Jetson Orin NX | GPU (Vulkan) | 8 | 125 | | Apple M2 Pro | Metal | 6 | 166 | | NVIDIA RTX 3060 | CUDA | 2.8 | 357 |

ailia_convert input.onnx output.ailia While Ailia.dll is an excellent choice for low-latency edge inference, it is not the only option. Below is a quick comparison. Ailia.dll

| Library / DLL | Strengths | Weaknesses | |---------------|-----------|-------------| | | Microsoft-backed, huge operator support | Larger binary, slower on CPUs | | TensorFlow Lite | Extremely widespread, delegate API | Requires flatbuffer conversion | | OpenVINO (Intel) | Best-in-class for Intel CPUs/iGPUs | Vendor lock-in | | TensorRT (NVIDIA) | Fastest on NVIDIA GPUs | CUDA-only, huge binary | | Ailia.dll | Balanced speed across CPU/GPU, tiny size | Smaller community, limited operators | | Hardware | Backend | Inference Time (ms)