diff --git a/webnn/resources/test_data/reduce_l1.json b/webnn/resources/test_data/reduce_l1.json
index c3f2b618e9b0eb..f38da396f808b0 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": [
+            5.50882625579834
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 5.50882625579834,
+        "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 d83eea9dfb93e8..9732394239f6da 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": [
+            4.860228061676025
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 4.860228061676025,
+        "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 061e12ad516523..8cc1a21a22e6a6 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": [
+            64.54827117919922
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 4.167413234710693,
+        "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 3577d6aa9ee521..db30fd529c9e87 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": [
+            0.7974132895469666
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 0.7974132895469666,
+        "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 11ed0ed9191474..2ddc1772e57b1e 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": [
+            32.16658401489258
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 32.16658401489258,
+        "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 8c26d0a5623e5c..e109e089de247b 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": [
+            95.84498596191406
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 95.84498596191406,
+        "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 6c26df5db16d92..d193fba1a651e2 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": [
+            -58.76195526123047
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": -58.76195526123047,
+        "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 d58af30ec1af61..fdee376d5dd591 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": [
+            -68.75911712646484
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": -68.75911712646484,
+        "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 7027d38b676993..ab7fdc4f4cc172 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": [
+            69.6038589477539
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 69.6038589477539,
+        "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 bd2ebb341a7c04..bcda5367511d0c 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": [
+            52.5615348815918
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 2762.71484375,
+        "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 c231f46bcf5221..0d3443b3dc9552 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':