diff --git a/testing/web-platform/tests/webnn/conformance_tests/reverse.https.any.js b/testing/web-platform/tests/webnn/conformance_tests/reverse.https.any.js
new file mode 100644
index 000000000000..f6d81c947d37
--- /dev/null
+++ b/testing/web-platform/tests/webnn/conformance_tests/reverse.https.any.js
@@ -0,0 +1,158 @@
+
+
+
+
+
+
+
+
+'use strict';
+
+
+
+
+
+
+
+
+
+
+
+const reverseTests = [
+  {
+    'name': 'reverse float32 2D input with default options',
+    'graph': {
+      'inputs': {
+        'reverseInput': {
+          'data': [
+            -30.0561466217041, 99.56941986083984, 88.04620361328125,
+            -91.87507629394531, -23.7972354888916, -91.28665161132812,
+            -63.15204620361328, 12.0669527053833, -96.1172866821289,
+            -44.77365493774414, -80.08650970458984, -64.43756866455078
+          ],
+          'descriptor': {shape: [3, 4], dataType: 'float32'}
+        }
+      },
+      'operators': [{
+        'name': 'reverse',
+        'arguments': [{'input': 'reverseInput'}],
+        'outputs': 'reverseOutput'
+      }],
+      'expectedOutputs': {
+        'reverseOutput': {
+          'data': [
+            -64.43756866455078, -80.08650970458984, -44.77365493774414,
+            -96.1172866821289, 12.0669527053833, -63.15204620361328,
+            -91.28665161132812, -23.7972354888916, -91.87507629394531,
+            88.04620361328125, 99.56941986083984, -30.0561466217041
+          ],
+          'descriptor': {shape: [3, 4], dataType: 'float32'}
+        }
+      }
+    }
+  },
+  {
+    'name': 'reverse float32 3D input options.axes=[1, 2]',
+    'graph': {
+      'inputs': {
+        'reverseInput': {
+          'data': [
+            -30.0561466217041, 99.56941986083984, 88.04620361328125,
+            -91.87507629394531, -23.7972354888916, -91.28665161132812,
+            -63.15204620361328, 12.0669527053833, -96.1172866821289,
+            -44.77365493774414, -80.08650970458984, -64.43756866455078
+          ],
+          'descriptor': {shape: [3, 2, 2], dataType: 'float32'}
+        }
+      },
+      'operators': [{
+        'name': 'reverse',
+        'arguments': [{'input': 'reverseInput'}, {'options': {'axes': [1, 2]}}],
+        'outputs': 'reverseOutput'
+      }],
+      'expectedOutputs': {
+        'reverseOutput': {
+          'data': [
+            -91.87507629394531, 88.04620361328125, 99.56941986083984,
+            -30.0561466217041, 12.0669527053833, -63.15204620361328,
+            -91.28665161132812, -23.7972354888916, -64.43756866455078,
+            -80.08650970458984, -44.77365493774414, -96.1172866821289
+          ],
+          'descriptor': {shape: [3, 2, 2], dataType: 'float32'}
+        }
+      }
+    }
+  },
+  {
+    'name': 'reverse float32 4D input options.axes=[3, 1]',
+    'graph': {
+      'inputs': {
+        'reverseInput': {
+          'data': [
+            -30.0561466217041, 99.56941986083984, 88.04620361328125,
+            -91.87507629394531, -23.7972354888916, -91.28665161132812,
+            -63.15204620361328, 12.0669527053833, -96.1172866821289,
+            -44.77365493774414, -80.08650970458984, -64.43756866455078
+          ],
+          'descriptor': {shape: [3, 2, 1, 2], dataType: 'float32'}
+        }
+      },
+      'operators': [{
+        'name': 'reverse',
+        'arguments': [{'input': 'reverseInput'}, {'options': {'axes': [3, 1]}}],
+        'outputs': 'reverseOutput'
+      }],
+      'expectedOutputs': {
+        'reverseOutput': {
+          'data': [
+            -91.87507629394531, 88.04620361328125, 99.56941986083984,
+            -30.0561466217041, 12.0669527053833, -63.15204620361328,
+            -91.28665161132812, -23.7972354888916, -64.43756866455078,
+            -80.08650970458984, -44.77365493774414, -96.1172866821289
+          ],
+          'descriptor': {shape: [3, 2, 1, 2], dataType: 'float32'}
+        }
+      }
+    }
+  },
+  {
+    'name': 'reverse float32 4D input options.axes=[]',
+    'graph': {
+      'inputs': {
+        'reverseInput': {
+          'data': [
+            -30.0561466217041, 99.56941986083984, 88.04620361328125,
+            -91.87507629394531, -23.7972354888916, -91.28665161132812,
+            -63.15204620361328, 12.0669527053833, -96.1172866821289,
+            -44.77365493774414, -80.08650970458984, -64.43756866455078
+          ],
+          'descriptor': {shape: [2, 1, 2, 3], dataType: 'float32'}
+        }
+      },
+      'operators': [{
+        'name': 'reverse',
+        'arguments': [{'input': 'reverseInput'}, {'options': {'axes': []}}],
+        'outputs': 'reverseOutput'
+      }],
+      'expectedOutputs': {
+        'reverseOutput': {
+          'data': [
+            -30.0561466217041, 99.56941986083984, 88.04620361328125,
+            -91.87507629394531, -23.7972354888916, -91.28665161132812,
+            -63.15204620361328, 12.0669527053833, -96.1172866821289,
+            -44.77365493774414, -80.08650970458984, -64.43756866455078
+          ],
+          'descriptor': {shape: [2, 1, 2, 3], dataType: 'float32'}
+        }
+      }
+    }
+  }
+];
+
+if (navigator.ml) {
+  reverseTests.forEach((test) => {
+    webnn_conformance_test(buildGraphAndCompute, getPrecisionTolerance, test);
+  });
+} else {
+  test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
+}
diff --git a/testing/web-platform/tests/webnn/validation_tests/reverse.https.any.js b/testing/web-platform/tests/webnn/validation_tests/reverse.https.any.js
new file mode 100644
index 000000000000..38f9686c158b
--- /dev/null
+++ b/testing/web-platform/tests/webnn/validation_tests/reverse.https.any.js
@@ -0,0 +1,59 @@
+
+
+
+
+
+
+
+'use strict';
+
+const tests = [
+  {
+    name: '[reverse] Test reverse with default options',
+    input: {dataType: 'float32', shape: [3, 3]},
+    output: {dataType: 'float32', shape: [3, 3]}
+  },
+  {
+    name: '[reverse] Test reverse with axes = [0, 1]',
+    input: {dataType: 'int32', shape: [1, 2, 3]},
+    axes: [0, 1],
+    output: {dataType: 'int32', shape: [1, 2, 3]}
+  },
+  {
+    name: '[reverse] Throw if axes is greater than input rank',
+    input: {dataType: 'float32', shape: [3, 3]},
+    axes: [3]
+  },
+  {
+    name: '[reverse] Throw if axes is duplicated',
+    input: {dataType: 'float32', shape: [1, 2, 3, 4]},
+    axes: [2, 2, 3]
+  }
+];
+
+tests.forEach(test => promise_test(async t => {
+                const builder = new MLGraphBuilder(context);
+                const input = builder.input('input', test.input);
+                const options = {};
+                if (test.axes) {
+                  options.axes = test.axes;
+                }
+
+                if (test.output) {
+                  const output = builder.reverse(input, options);
+                  assert_equals(output.dataType, test.output.dataType);
+                  assert_array_equals(output.shape, test.output.shape);
+                } else {
+                  const label = 'reverse_1'
+                  options.label = label;
+                  const regexp = new RegExp('\\[' + label + '\\]');
+                  assert_throws_with_label(
+                      () => builder.reverse(input, options), regexp);
+                }
+              }, test.name));
+
+multi_builder_test(async (t, builder, otherBuilder) => {
+  const input =
+      otherBuilder.input('input', {dataType: 'float32', shape: [3, 3]});
+  assert_throws_js(TypeError, () => builder.reverse(input));
+}, '[reverse] Throw if input is from another builder');