ti-edgeai-profile-pipeline

Measure and improve inference speed on TI Edge AI boards with a C7x/MMA accelerator (TDA4VM, AM68A, AM69A, AM67A, AM62A): model-only latency, per-layer C7x cycle hotspots, per-element GStreamer latency and FPS of the edgeai-gst-apps pipeline, system load, and the levers that trade accuracy for speed (input size, 16-bit layers, frame rate, output size). Use this skill whenever the user asks how fast a model runs on the TI board, wants FPS, latency, "why is it slow", per-layer timings, which stage is the bottleneck, whether the pipeline can keep 30 fps, or how much a precision/size change costs - even if they only say "benchmark it on the TI device".

Version

0.1.0

License

MIT