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Accuracy vs On-target Throughput

- COCO val2017 · pipelined FPS measured on each platform by the EdgeFirst Profiler + COCO val2017 · realized FPS measured on each platform by the EdgeFirst Profiler

Each point is a public validation session: color = platform, shape = model family - (● YOLOv5 · ■ YOLOv8 · ▲ YOLO11 · ◆ YOLO26). X axis is sustained pipelined throughput on a log - scale — the full image load → decode → preprocess → inference → postprocess pipeline, not bare - inference time. ⚠ flagged sessions are shown at their measured accuracy. + (● YOLOv5 · ■ YOLOv8 · ▲ YOLO11 · ◆ YOLO26). X axis is the realized sustained throughput on a log + scale — the measured full image load → decode → preprocess → inference → postprocess pipeline, not bare + inference time and not the accelerator's theoretical ceiling. ⚠ flagged sessions are shown at their measured accuracy.

@@ -539,7 +539,8 @@ Mask mAP50-95 Inf (ms) E2E (ms) - FPS + Realized FPS + Theo. FPS Studio @@ -601,14 +602,16 @@ # Platform Fastest model - FPS (median) + Realized FPS E2E latency (ms)

- Throughput is the measured pipelined rate — stages overlap across frames, so it exceeds - 1000 ÷ end-to-end latency. Measured by the + Realized FPS is the measured steady-state throughput — stages overlap across frames, so it exceeds + 1000 ÷ end-to-end latency. The full per-session table also reports a Theoretical FPS: the + accelerator's per-stage ceiling, approachable in production when the accelerator — not host JPEG decode or the + validation-only 0.001 confidence threshold — is the bottleneck. Measured by the EdgeFirst Profiler.

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