diff --git a/webnn/resources/test_data/reduce_l1.json b/webnn/resources/test_data/reduce_l1.json
index c3f2b618e9b0eb9..ffea2baf617ea7f 100644
--- a/webnn/resources/test_data/reduce_l1.json
+++ b/webnn/resources/test_data/reduce_l1.json
@@ -1,5 +1,23 @@
 {
   "tests": [
+    {
+      "name": "reduceL1 float32 0D constant tensor all positive default options", // default options: {axes: null, keepDimensions: false}
+      "inputs": {
+        "input": {
+          "shape": [],
+          "data": [
+            5.508826448139126
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 5.508826448139126,
+        "type": "float32"
+      }
+    },
     {
       "name": "reduceL1 float32 1D constant tensor all positive default options", // default options: {axes: null, keepDimensions: false}
       "inputs": {
diff --git a/webnn/resources/test_data/reduce_l2.json b/webnn/resources/test_data/reduce_l2.json
index d83eea9dfb93e87..33a2d70cf2644fe 100644
--- a/webnn/resources/test_data/reduce_l2.json
+++ b/webnn/resources/test_data/reduce_l2.json
@@ -1,5 +1,23 @@
 {
   "tests": [
+    {
+      "name": "reduceL2 float32 0D constant tensor all positive default options", // default options: {axes: null, keepDimensions: false}
+      "inputs": {
+        "input": {
+          "shape": [],
+          "data": [
+            4.860227954324237
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 4.860227954324237,
+        "type": "float32"
+      }
+    },
     {
       "name": "reduceL2 float32 1D constant tensor all positive default options", // default options: {axes: null, keepDimensions: false}
       "inputs": {
diff --git a/webnn/resources/test_data/reduce_log_sum.json b/webnn/resources/test_data/reduce_log_sum.json
index 061e12ad5165239..1abb6932f4535e9 100644
--- a/webnn/resources/test_data/reduce_log_sum.json
+++ b/webnn/resources/test_data/reduce_log_sum.json
@@ -1,5 +1,23 @@
 {
   "tests": [
+    {
+      "name": "reduceLogSum float32 0D constant tensor all non-negative default options", // default options: {axes: null, keepDimensions: false}
+      "inputs": {
+        "input": {
+          "shape": [],
+          "data": [
+            64.54826901463852
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 64.54826901463852,
+        "type": "float32"
+      }
+    },
     {
       "name": "reduceLogSum float32 1D constant tensor all non-negative default options", // default options: {axes: null, keepDimensions: false}
       "inputs": {
diff --git a/webnn/resources/test_data/reduce_log_sum_exp.json b/webnn/resources/test_data/reduce_log_sum_exp.json
index 3577d6aa9ee521a..aa820b1e11fd510 100644
--- a/webnn/resources/test_data/reduce_log_sum_exp.json
+++ b/webnn/resources/test_data/reduce_log_sum_exp.json
@@ -1,5 +1,23 @@
 {
   "tests": [
+    {
+      "name": "reduceLogSumExp float32 0D constant tensor all positive default options", // default options: {axes: null, keepDimensions: false}
+      "inputs": {
+        "input": {
+          "shape": [],
+          "data": [
+            0.7974132976078829
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 0.7974132976078829,
+        "type": "float32"
+      }
+    },
     {
       "name": "reduceLogSumExp float32 1D constant tensor all positive default options", // default options: {axes: null, keepDimensions: false}
       "inputs": {
diff --git a/webnn/resources/test_data/reduce_max.json b/webnn/resources/test_data/reduce_max.json
index 11ed0ed91914740..715c4d034d89449 100644
--- a/webnn/resources/test_data/reduce_max.json
+++ b/webnn/resources/test_data/reduce_max.json
@@ -1,5 +1,23 @@
 {
   "tests": [
+    {
+      "name": "reduceMax float32 0D constant tensor default options",
+      "inputs": {
+        "input": {
+          "shape": [],
+          "data": [
+            32.166585683408215
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 32.166585683408215,
+        "type": "float32"
+      }
+    },
     {
       "name": "reduceMax float32 1D constant tensor default options",
       "inputs": {
diff --git a/webnn/resources/test_data/reduce_mean.json b/webnn/resources/test_data/reduce_mean.json
index 8c26d0a5623e5cd..b04738b647d5f40 100644
--- a/webnn/resources/test_data/reduce_mean.json
+++ b/webnn/resources/test_data/reduce_mean.json
@@ -1,5 +1,23 @@
 {
   "tests": [
+    {
+      "name": "reduceMean float32 0D constant tensor all positive default options",
+      "inputs": {
+        "input": {
+          "shape": [],
+          "data": [
+            95.84498772347054
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 95.84498772347054,
+        "type": "float32"
+      }
+    },
     {
       "name": "reduceMean float32 1D constant tensor all positive default options",
       "inputs": {
diff --git a/webnn/resources/test_data/reduce_min.json b/webnn/resources/test_data/reduce_min.json
index 6c26df5db16d92a..1d07978599f6f13 100644
--- a/webnn/resources/test_data/reduce_min.json
+++ b/webnn/resources/test_data/reduce_min.json
@@ -1,5 +1,23 @@
 {
   "tests": [
+    {
+      "name": "reduceMin float32 0D constant tensor default options",
+      "inputs": {
+        "input": {
+          "shape": [],
+          "data": [
+            -58.76195671214997
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": -58.76195671214997,
+        "type": "float32"
+      }
+    },
     {
       "name": "reduceMin float32 1D constant tensor default options",
       "inputs": {
diff --git a/webnn/resources/test_data/reduce_product.json b/webnn/resources/test_data/reduce_product.json
index d58af30ec1af619..97007d191daaab3 100644
--- a/webnn/resources/test_data/reduce_product.json
+++ b/webnn/resources/test_data/reduce_product.json
@@ -1,5 +1,23 @@
 {
   "tests": [
+    {
+      "name": "reduceProduct float32 0D constant tensor default options",
+      "inputs": {
+        "input": {
+          "shape": [],
+          "data": [
+            -68.75911760233478
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": -68.75911760233478,
+        "type": "float32"
+      }
+    },
     {
       "name": "reduceProduct float32 1D constant tensor default options",
       "inputs": {
diff --git a/webnn/resources/test_data/reduce_sum.json b/webnn/resources/test_data/reduce_sum.json
index 7027d38b6769937..88db9973c598a94 100644
--- a/webnn/resources/test_data/reduce_sum.json
+++ b/webnn/resources/test_data/reduce_sum.json
@@ -1,5 +1,23 @@
 {
   "tests": [
+    {
+      "name": "reduceSum float32 0D constant tensor all positive default options",
+      "inputs": {
+        "input": {
+          "shape": [],
+          "data": [
+            69.6038605453285
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 69.6038605453285,
+        "type": "float32"
+      }
+    },
     {
       "name": "reduceSum float32 1D constant tensor all positive default options",
       "inputs": {
diff --git a/webnn/resources/test_data/reduce_sum_square.json b/webnn/resources/test_data/reduce_sum_square.json
index bd2ebb341a7c04b..6661c47133f4587 100644
--- a/webnn/resources/test_data/reduce_sum_square.json
+++ b/webnn/resources/test_data/reduce_sum_square.json
@@ -1,5 +1,23 @@
 {
   "tests": [
+    {
+      "name": "reduceSumSquare float32 0D constant tensor all positive default options",
+      "inputs": {
+        "input": {
+          "shape": [],
+          "data": [
+            52.5615351837915
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 52.5615351837915,
+        "type": "float32"
+      }
+    },
     {
       "name": "reduceSumSquare float32 1D constant tensor all positive default options", // default options: {axes: null, keepDimensions: false}
       "inputs": {
diff --git a/webnn/resources/utils.js b/webnn/resources/utils.js
index c231f46bcf52218..0d3443b3dc95526 100644
--- a/webnn/resources/utils.js
+++ b/webnn/resources/utils.js
@@ -274,9 +274,9 @@ const getReductionPrecisionTolerance = (resources, operationName) => {
   } else {
     sizes = inputShape;
   }
-  const reducedElementCount = sizes.reduce(
-                                  (accumulator, currentValue) => accumulator * currentValue
-  );
+  const reducedElementCount = sizes.length ?
+      sizes.reduce((accumulator, currentValue) => accumulator * currentValue) :
+      1;
   let tolerance;
   switch (operationName) {
     case 'reduceL1':