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model.","universal":false},{"key":"hailo8l","label":"RPi5 + Hailo-8L (13 TOPS)","format_label":"Hailo-8L HEF","folder":"hailo","extension":".hailo8l.hef","notes":"Hailo-8L 13 TOPS accelerator.","universal":false},{"key":"engine","label":"NVIDIA Jetson (TensorRT)","format_label":"TensorRT Engine","folder":"jetson","extension":".engine","notes":"Jetson FP16 and INT8 engines.","universal":false}],"sizes":[{"key":"n","label":"Nano"},{"key":"s","label":"Small"},{"key":"m","label":"Medium"},{"key":"l","label":"Large"},{"key":"x","label":"XLarge"}],"model_params":{"yolov5":{"n":{"params":"1.9M","gflops":4.5},"s":{"params":"7.2M","gflops":16.5},"m":{"params":"21.2M","gflops":49.0},"l":{"params":"46.5M","gflops":109.1},"x":{"params":"86.7M","gflops":205.7}},"yolov8":{"n":{"params":"3.2M","gflops":8.9},"s":{"params":"11.2M","gflops":28.8},"m":{"params":"25.9M","gflops":79.3},"l":{"params":"43.7M","gflops":165.7},"x":{"params":"68.2M","gflops":258.5}},"yolo11":{"n":{"params":"2.6M","gflops":6.5},"s":{"params":"9.4M","gflops":21.5},"m":{"params":"20.1M","gflops":68.0},"l":{"params":"25.3M","gflops":87.6},"x":{"params":"56.9M","gflops":195.0}},"yolo26":{"n":{"params":"2.7M","gflops":7.6},"s":{"params":"10.3M","gflops":27.0},"m":{"params":"24.5M","gflops":74.4},"l":{"params":"42.5M","gflops":155.0},"x":{"params":"67.5M","gflops":244.0}}},"det_bench":{"yolov5":{"n":{"onnx_fp32_map50":47.75,"onnx_fp32_map50_95":32.95,"tflite_int8_map50":46.53,"tflite_int8_map50_95":31.89}},"yolov8":{"n":{"onnx_fp32_map50":50.49,"onnx_fp32_map50_95":35.83,"tflite_int8_map50":49.8,"tflite_int8_map50_95":35.22}},"yolo11":{"n":{"onnx_fp32_map50":53.1,"onnx_fp32_map50_95":37.84,"tflite_int8_map50":51.77,"tflite_int8_map50_95":36.73}},"yolo26":{"n":{"onnx_fp32_map50":55.04,"onnx_fp32_map50_95":39.69,"tflite_int8_map50":52.72,"tflite_int8_map50_95":36.61}}},"seg_bench":{"yolov8":{"n":{"onnx_det_map50_95":36.03,"onnx_mask_map50_95":29.14,"int8_det_map50_95":34.7,"int8_mask_map50_95":28.02}},"yolo11":{"n":{"onnx_det_map50_95":38.14,"onnx_mask_map50_95":30.75,"int8_det_map50_95":36.55,"int8_mask_map50_95":29.32}},"yolo26":{"n":{"onnx_det_map50_95":40.09,"onnx_mask_map50_95":33.2,"int8_det_map50_95":35.61,"int8_mask_map50_95":30.94}}},"validation":{},"studio_exp_urls":{"yolov5":{"det":"https://edgefirst.studio/public/projects/1684/experiment/training/list?exp_id=2113"},"yolov8":{"det":"https://edgefirst.studio/public/projects/1684/experiment/training/list?exp_id=2114","seg":"https://edgefirst.studio/public/projects/1685/experiment/training/list?exp_id=2181"},"yolo11":{"det":"https://edgefirst.studio/public/projects/1684/experiment/training/list?exp_id=2115","seg":"https://edgefirst.studio/public/projects/1685/experiment/training/list?exp_id=2182"},"yolo26":{"det":"https://edgefirst.studio/public/projects/1684/experiment/training/list?exp_id=2116","seg":"https://edgefirst.studio/public/projects/1685/experiment/training/list?exp_id=2183"}},"hardware_badges":["x86_64 | Linux","aarch64 | Linux","Apple | macOS","NXP i.MX 8M Plus","NXP i.MX 95","NXP Ara240","RPi5 + Hailo-8L","NVIDIA Jetson"],"studio_server":"https://edgefirst.studio","unsupported_platforms":[{"version_key":"yolo26","task_key":"seg","platform_key":"imx95"},{"version_key":"yolo11","task_key":"seg","platform_key":"imx95"},{"version_key":"yolo26","task_key":"det","platform_key":"imx95"},{"version_key":"yolo11","task_key":"det","platform_key":"imx95"}]}</script>
 <script>
 "use strict";
 
@@ -694,6 +696,17 @@ const PLATFORM_ROWS = [
   { key: "m2max-ane", label: "Apple M2 Max",            detail: "ONNX + CoreML ANE",              group: "reference", color: "#4B0082", match: /coreml-ane/ },
   { key: "m2max-gpu", label: "Apple M2 Max",            detail: "ONNX + CoreML GPU",              group: "reference", color: "#7A4FB3", match: /coreml-gpu/, leaderboard: false },
   { key: "m2max-cpu", label: "Apple M2 Max",            detail: "ONNX + CoreML CPU",              group: "reference", color: "#A98FD0", match: /coreml-cpu|macos|coreml/, leaderboard: false },
+  // iPhone handsets (AWS Device Farm, EFPI mobile sweep). Footers are
+  // iphone{17,15}pro-{ane,gpu,cpu} — matched on the full footer string so no
+  // earlier row (nor the bare /coreml/ catch-all above, which never appears
+  // in these sessions' name/target text) can absorb them. Like macOS, only
+  // the ANE row is leaderboard-ranked.
+  { key: "iphone17-ane", label: "Apple iPhone 17 Pro",  detail: "ONNX + CoreML ANE",              group: "mobile",    color: "#0A84FF", match: /iphone17pro-ane/ },
+  { key: "iphone17-gpu", label: "Apple iPhone 17 Pro",  detail: "ONNX + CoreML GPU",              group: "mobile",    color: "#5AA9F0", match: /iphone17pro-gpu/, leaderboard: false },
+  { key: "iphone17-cpu", label: "Apple iPhone 17 Pro",  detail: "ONNX + CoreML CPU",              group: "mobile",    color: "#9CC8E8", match: /iphone17pro-cpu/, leaderboard: false },
+  { key: "iphone15-ane", label: "Apple iPhone 15 Pro",  detail: "ONNX + CoreML ANE",              group: "mobile",    color: "#E75480", match: /iphone15pro-ane/ },
+  { key: "iphone15-gpu", label: "Apple iPhone 15 Pro",  detail: "ONNX + CoreML GPU",              group: "mobile",    color: "#F080A8", match: /iphone15pro-gpu/, leaderboard: false },
+  { key: "iphone15-cpu", label: "Apple iPhone 15 Pro",  detail: "ONNX + CoreML CPU",              group: "mobile",    color: "#F6B3C9", match: /iphone15pro-cpu/, leaderboard: false },
   { key: "imx8mp",    label: "NXP i.MX 8M Plus",        detail: "VSI NPU · TFLite INT8",          group: "embedded",  color: "#E8B820", match: /imx8mp/ },
   { key: "imx95",     label: "NXP i.MX 95",             detail: "eIQ Neutron · TFLite INT8",      group: "embedded",  color: "#1FA0A8", match: /imx95(?!-ara)/ },
   { key: "ara240",    label: "NXP Ara240",              detail: "NXP Ara SDK · .DVM",             group: "embedded",  color: "#5BB8F5", match: /ara240|kinara|\.dvm/ },