Update model card for yolo11-seg

README.md

@@ -104,10 +104,18 @@ Row conventions in the table below:
 | Nano | Apple M2 Max — CoreML Neural Engine (FP16) | 52.89% | 30.50% | -0.25 | 2.74 | 12.68 | 349.9 | ~351 | [v-9f0](https://edgefirst.studio/public/validation/v-9f0/details?mode=charts) |
 | Nano | Apple M2 Max — CoreML Metal GPU (FP16) | 51.85% | 29.94% | -0.81 | 6.86 | 18.07 | 290.7 | ~291 | [v-739](https://edgefirst.studio/public/validation/v-739/details?mode=charts) |
 | Nano | Apple M2 Max — CoreML CPU (FP16) | 52.85% | 30.51% | -0.24 | 20.86 | 29.03 | 90.6 | ~91 | [v-9f1](https://edgefirst.studio/public/validation/v-9f1/details?mode=charts) |
+| Nano | Apple iPhone 17 Pro — CoreML Neural Engine (FP16) | 53.28% | 30.71% | -0.04 | — | — | 176.1 | ~409 | [v-c07](https://edgefirst.studio/public/validation/v-c07/details?mode=charts) |
+| Nano | Apple iPhone 17 Pro — CoreML Metal GPU (FP16) | 53.30% | 30.73% | -0.02 | — | — | 132.7 | ~149 | [v-c05](https://edgefirst.studio/public/validation/v-c05/details?mode=charts) |
+| Nano | Apple iPhone 17 Pro — CoreML CPU (FP16) | 53.25% | 30.74% | -0.01 | — | — | 70.7 | ~73 | [v-c00](https://edgefirst.studio/public/validation/v-c00/details?mode=charts) |
+| Nano | Apple iPhone 15 Pro — CoreML Neural Engine (FP16) | 53.27% | 30.72% | -0.03 | — | — | 132.9 | ~386 | [v-c0d](https://edgefirst.studio/public/validation/v-c0d/details?mode=charts) |
+| Nano | Apple iPhone 15 Pro — CoreML Metal GPU (FP16) | 53.29% | 30.74% | -0.01 | — | — | 80.0 | ~89 | [v-c0b](https://edgefirst.studio/public/validation/v-c0b/details?mode=charts) |
+| Nano | Apple iPhone 15 Pro — CoreML CPU (FP16) | 53.32% | 30.75% | +0.00 | — | — | 53.6 | ~56 | [v-c09](https://edgefirst.studio/public/validation/v-c09/details?mode=charts) |
 | Nano | NXP i.MX 8M Plus + VeriSilicon NPU (FRDM) | 48.41% | 27.17% | -3.58 | 104.78 | 200.77 | 8.6 | ~9 | [v-8d1](https://edgefirst.studio/public/validation/v-8d1/details?mode=charts) |
 | Nano | NXP i.MX 95 + eIQ Neutron NPU (FRDM) — latency | In progress | — | — | — | — | — | — | [v-8b9](https://edgefirst.studio/public/validation/v-8b9/details?mode=charts) |
 | Nano | NXP i.MX 95 + eIQ Neutron NPU (FRDM) — throughput | In progress | — | — | — | — | — | — | [v-8be](https://edgefirst.studio/public/validation/v-8be/details?mode=charts) |
 | Nano | NXP i.MX 95 + eIQ Neutron NPU (Phytec) — throughput | In progress | — | — | — | — | — | — | [v-89c](https://edgefirst.studio/public/validation/v-89c/details?mode=charts) |
+| Nano | NXP i.MX 95 + eIQ Neutron NPU (Verdin) — latency | In progress | — | — | — | — | — | — | [v-bd1](https://edgefirst.studio/public/validation/v-bd1/details?mode=charts) |
+| Nano | NXP i.MX 95 + eIQ Neutron NPU (Verdin) — throughput | In progress | — | — | — | — | — | — | [v-bd0](https://edgefirst.studio/public/validation/v-bd0/details?mode=charts) |
 | Nano | NXP Ara240 (FRDM) — latency | 49.18% | 28.03% | -2.72 | 9.56 | 40.86 | 57.4 | ~63 | [v-a1a](https://edgefirst.studio/public/validation/v-a1a/details?mode=charts) |
 | Nano | NXP Ara240 (FRDM) — throughput | 49.18% | 28.03% | -2.72 | 9.80 | 61.08 | 58.1 | ~229 | [v-a1b](https://edgefirst.studio/public/validation/v-a1b/details?mode=charts) |
 | Nano | Raspberry Pi 5 + Hailo-8L NPU | 51.15% | 29.32% | -1.43 | 24.26 | 43.75 | 40.4 | ~40 | [v-a44](https://edgefirst.studio/public/validation/v-a44/details?mode=charts) |
@@ -118,6 +126,12 @@ Row conventions in the table below:
 | Small | Apple M2 Max — CoreML Neural Engine (FP16) | 60.16% | 34.89% | -0.83 | 6.81 | 13.26 | 253.7 | ~254 | [v-730](https://edgefirst.studio/public/validation/v-730/details?mode=charts) |
 | Small | Apple M2 Max — CoreML Metal GPU (FP16) | 61.03% | 35.29% | -0.43 | 21.32 | 29.98 | 134.1 | ~134 | [v-9f2](https://edgefirst.studio/public/validation/v-9f2/details?mode=charts) |
 | Small | Apple M2 Max — CoreML CPU (FP16) | 61.03% | 35.29% | -0.43 | 40.34 | 47.99 | 48.1 | ~48 | [v-9f3](https://edgefirst.studio/public/validation/v-9f3/details?mode=charts) |
+| Small | Apple iPhone 17 Pro — CoreML Neural Engine (FP16) | 60.98% | 35.34% | -0.38 | — | — | 189.4 | ~197 | [v-c62](https://edgefirst.studio/public/validation/v-c62/details?mode=charts) |
+| Small | Apple iPhone 17 Pro — CoreML Metal GPU (FP16) | 61.06% | 35.32% | -0.40 | — | — | 84.3 | ~85 | [v-c70](https://edgefirst.studio/public/validation/v-c70/details?mode=charts) |
+| Small | Apple iPhone 17 Pro — CoreML CPU (FP16) | 61.03% | 35.30% | -0.42 | — | — | 33.2 | ~33 | [v-c69](https://edgefirst.studio/public/validation/v-c69/details?mode=charts) |
+| Small | Apple iPhone 15 Pro — CoreML Neural Engine (FP16) | 60.98% | 35.35% | -0.37 | — | — | 152.4 | ~188 | [v-c2e](https://edgefirst.studio/public/validation/v-c2e/details?mode=charts) |
+| Small | Apple iPhone 15 Pro — CoreML Metal GPU (FP16) | 61.07% | 35.33% | -0.39 | — | — | 30.7 | ~31 | [v-c3d](https://edgefirst.studio/public/validation/v-c3d/details?mode=charts) |
+| Small | Apple iPhone 15 Pro — CoreML CPU (FP16) | 61.02% | 35.30% | -0.42 | — | — | 27.6 | ~28 | [v-c36](https://edgefirst.studio/public/validation/v-c36/details?mode=charts) |
 | Small | NXP i.MX 8M Plus + VeriSilicon NPU (FRDM) | 42.80% | 22.19% | -13.53 ⚠ | 198.08 | 285.44 | 4.8 | ~5 | [v-955](https://edgefirst.studio/public/validation/v-955/details?mode=charts) |
 | Small | NXP Ara240 (FRDM) — latency | 57.97% | 33.61% | -2.11 | 15.63 | 42.29 | 53.6 | ~54 | [v-a28](https://edgefirst.studio/public/validation/v-a28/details?mode=charts) |
 | Small | NXP Ara240 (FRDM) — throughput | 57.97% | 33.61% | -2.11 | 16.15 | 66.74 | 63.7 | ~94 | [v-a29](https://edgefirst.studio/public/validation/v-a29/details?mode=charts) |
@@ -129,6 +143,12 @@ Row conventions in the table below:
 | Medium | Apple M2 Max — CoreML Neural Engine (FP16) | 65.03% | 38.29% | -1.13 | 24.35 | 31.55 | 79.3 | ~79 | [v-7ff](https://edgefirst.studio/public/validation/v-7ff/details?mode=charts) |
 | Medium | Apple M2 Max — CoreML Metal GPU (FP16) | 65.99% | 38.70% | -0.72 | 62.30 | 70.45 | 47.2 | ~47 | [v-9e1](https://edgefirst.studio/public/validation/v-9e1/details?mode=charts) |
 | Medium | Apple M2 Max — CoreML CPU (FP16) | 65.96% | 38.67% | -0.75 | 90.94 | 98.48 | 21.7 | ~22 | [v-9e0](https://edgefirst.studio/public/validation/v-9e0/details?mode=charts) |
+| Medium | Apple iPhone 17 Pro — CoreML Neural Engine (FP16) | 65.98% | 38.80% | -0.62 | — | — | 69.0 | ~69 | [v-c61](https://edgefirst.studio/public/validation/v-c61/details?mode=charts) |
+| Medium | Apple iPhone 17 Pro — CoreML Metal GPU (FP16) | 66.00% | 38.72% | -0.70 | — | — | 22.6 | ~23 | [v-c6f](https://edgefirst.studio/public/validation/v-c6f/details?mode=charts) |
+| Medium | Apple iPhone 17 Pro — CoreML CPU (FP16) | 65.98% | 38.66% | -0.76 | — | — | 12.5 | ~13 | [v-c68](https://edgefirst.studio/public/validation/v-c68/details?mode=charts) |
+| Medium | Apple iPhone 15 Pro — CoreML Neural Engine (FP16) | 65.98% | 38.80% | -0.62 | — | — | 58.5 | ~59 | [v-c2c](https://edgefirst.studio/public/validation/v-c2c/details?mode=charts) |
+| Medium | Apple iPhone 15 Pro — CoreML Metal GPU (FP16) | 66.00% | 38.71% | -0.71 | — | — | 9.8 | ~10 | [v-c3c](https://edgefirst.studio/public/validation/v-c3c/details?mode=charts) |
+| Medium | Apple iPhone 15 Pro — CoreML CPU (FP16) | 65.98% | 38.68% | -0.74 | — | — | 9.7 | ~10 | [v-c35](https://edgefirst.studio/public/validation/v-c35/details?mode=charts) |
 | Medium | NXP i.MX 8M Plus + VeriSilicon NPU (FRDM) | 54.71% | 30.31% | -9.11 ⚠ | 392.18 | 468.93 | 2.5 | ~3 | [v-9ab](https://edgefirst.studio/public/validation/v-9ab/details?mode=charts) |
 | Medium | NXP Ara240 (FRDM) — latency | 62.87% | 37.36% | -2.06 | 39.06 | 61.74 | 24.8 | ~25 | [v-a36](https://edgefirst.studio/public/validation/v-a36/details?mode=charts) |
 | Medium | NXP Ara240 (FRDM) — throughput | 62.85% | 37.35% | -2.07 | 39.18 | 63.09 | 29.1 | ~29 | [v-a37](https://edgefirst.studio/public/validation/v-a37/details?mode=charts) |