Add dinov3_vits16 CoreML FP32 model (560×560)

README.md

@@ -69,21 +69,21 @@ Performance metrics on Apple Silicon:
 
 ### CoreML Performance
 
-- **Throughput**: 18.42 FPS
-- **Latency**: 54.28 ± 0.59 ms
-- **Min Latency**: 53.52 ms
-- **Max Latency**: 56.94 ms
+- **Throughput**: 19.02 FPS
+- **Latency**: 52.58 ± 0.44 ms
+- **Min Latency**: 51.96 ms
+- **Max Latency**: 54.40 ms
 
 ### Speedup vs PyTorch
 
-- **PyTorch**: 9.52 FPS
-- **CoreML**: 18.42 FPS
-- **Speedup**: 1.94x faster ⚡
+- **PyTorch**: 9.62 FPS
+- **CoreML**: 19.02 FPS
+- **Speedup**: 1.98x faster ⚡
 
 ### Feature Accuracy
 
-- **Cosine Similarity**: 0.9887 (vs PyTorch)
-- **Correlation**: 0.9887
+- **Cosine Similarity**: 0.9891 (vs PyTorch)
+- **Correlation**: 0.9891
 - **Quality**: ⭐⭐⭐ Very Good - Excellent similarity
 
 ### Model Specifications

benchmark_results.json

@@ -1,51 +1,51 @@
 {
   "pytorch": {
-    "fps": 9.521176461335893,
-    "avg_time": 0.10502903754182626,
-    "std_time": 0.006872726689041972,
-    "min_time": 0.10140633300761692,
-    "max_time": 0.15246500002103858
+    "fps": 9.624036694810867,
+    "avg_time": 0.10390650323883165,
+    "std_time": 0.0027939264359063158,
+    "min_time": 0.10088958300184458,
+    "max_time": 0.12023454200243577
   },
   "coreml": {
-    "fps": 18.42449335432957,
-    "avg_time": 0.05427557657996658,
-    "std_time": 0.0005948793205934146,
-    "min_time": 0.05351879098452628,
-    "max_time": 0.05694199999561533
+    "fps": 19.019900704128766,
+    "avg_time": 0.05257651002262719,
+    "std_time": 0.0004365703703032993,
+    "min_time": 0.05196387501200661,
+    "max_time": 0.054404666007030755
   },
   "coreml_compute_units": {
     "all": {
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-      "avg_time": 0.05427557657996658,
-      "std_time": 0.0005948793205934146,
-      "min_time": 0.05351879098452628,
-      "max_time": 0.05694199999561533
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+      "avg_time": 0.05257651002262719,
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+      "min_time": 0.05196387501200661,
+      "max_time": 0.054404666007030755
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     "cpu_and_gpu": {
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-      "avg_time": 0.054352158319670704,
-      "std_time": 0.0006652288972007947,
-      "min_time": 0.053292708995286375,
-      "max_time": 0.05659175000619143
+      "fps": 17.96984129410969,
+      "avg_time": 0.05564879420096986,
+      "std_time": 0.0011291928715886348,
+      "min_time": 0.05302037499495782,
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     "cpu_and_ne": {
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-      "avg_time": 0.1276777699403465,
-      "std_time": 0.006023881250409553,
-      "min_time": 0.11929158298880793,
-      "max_time": 0.14276612500543706
+      "fps": 8.98604870549592,
+      "avg_time": 0.11128361672337633,
+      "std_time": 0.0013816359522091544,
+      "min_time": 0.10941429200465791,
+      "max_time": 0.11519570800010115
     },
     "cpu_only": {
-      "fps": 8.391894948312984,
-      "avg_time": 0.11916259750141762,
-      "std_time": 0.006948272790655734,
-      "min_time": 0.1142835840000771,
-      "max_time": 0.16539720899891108
+      "fps": 8.836844654098309,
+      "avg_time": 0.11316256414400414,
+      "std_time": 0.00637503717350401,
+      "min_time": 0.10902816700399853,
+      "max_time": 0.15590912499465048
     }
   },
   "comparison": {
-    "cosine_similarity": 0.9887380003929138,
-    "l2_distance": 0.14098112285137177,
-    "correlation": 0.9886812771695801
+    "cosine_similarity": 0.9891232848167419,
+    "l2_distance": 0.13785669207572937,
+    "correlation": 0.98906476330859
   }
 }

dinov3_vits16_560x560_fp32.mlpackage/Data/com.apple.CoreML/model.mlmodel

@@ -1,3 +1,3 @@
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 size 191717

dinov3_vits16_560x560_fp32.mlpackage/Manifest.json

@@ -1,18 +1,18 @@
 {
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-            "author": "com.apple.CoreML",
-            "description": "CoreML Model Weights",
-            "name": "weights",
-            "path": "com.apple.CoreML/weights"
-        },
-        "DC8074DB-EF60-4EC5-A7AE-C27E02D862B6": {
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             "author": "com.apple.CoreML",
             "description": "CoreML Model Specification",
             "name": "model.mlmodel",
             "path": "com.apple.CoreML/model.mlmodel"
+        },
+        "AA5395DA-2B1A-4274-92DB-3D99C53DEB7F": {
+            "author": "com.apple.CoreML",
+            "description": "CoreML Model Weights",
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+            "path": "com.apple.CoreML/weights"
         }
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 }