diff --git a/mindspore/lite/src/runtime/kernel/opencl/cl/arithmetic.cl b/mindspore/lite/src/runtime/kernel/opencl/cl/arithmetic.cl
index 19cce26000..20280cb72b 100644
--- a/mindspore/lite/src/runtime/kernel/opencl/cl/arithmetic.cl
+++ b/mindspore/lite/src/runtime/kernel/opencl/cl/arithmetic.cl
@@ -265,18 +265,22 @@ __kernel void BroadcastNHWC4Add(__read_only image2d_t input_a, __read_only image
                                 const int4 output_shape, const int broadcastC_flag, float act_min, float act_max) {
   int X = get_global_id(0);  // C4
   int Y = get_global_id(1);  // W
-  int Z = get_global_id(2);  // H
-  if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.y) {
-    return;
-  }
-  int a_c = X < a_shape.w ? X : a_shape.w - 1;
-  int a_w = Y < a_shape.z ? Y : a_shape.z - 1;
-  int a_h = Z < a_shape.y ? Z : a_shape.y - 1;
-  FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_h));
-  int b_c = X < b_shape.w ? X : b_shape.w - 1;
-  int b_w = Y < b_shape.z ? Y : b_shape.z - 1;
-  int b_h = Z < b_shape.y ? Z : b_shape.y - 1;
-  FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_h));
+  int Z = get_global_id(2);  // N * H
+  if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.y * output_shape.x) {
+    return;
+  }
+  int H = Z % output_shape.y;
+  int N = Z / output_shape.y;
+  int a_c = X < a_shape.w ? X : 0;
+  int a_w = Y < a_shape.z ? Y : 0;
+  int a_h = H < a_shape.y ? H : 0;
+  int a_n = N < a_shape.x ? N : 0;
+  FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_n * a_shape.y + a_h));
+  int b_c = X < b_shape.w ? X : 0;
+  int b_w = Y < b_shape.z ? Y : 0;
+  int b_h = H < b_shape.y ? H : 0;
+  int b_n = N < b_shape.x ? N : 0;
+  FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_n * b_shape.y + b_h));
   FLT4 result;
   if (broadcastC_flag == 0) {
     result = a + b;
@@ -294,18 +298,22 @@ __kernel void BroadcastNHWC4BiasAdd(__read_only image2d_t input_a, __read_only i
                                     const int4 output_shape, const int broadcastC_flag, float act_min, float act_max) {
   int X = get_global_id(0);  // C4
   int Y = get_global_id(1);  // W
-  int Z = get_global_id(2);  // H
-  if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.y) {
-    return;
-  }
-  int a_c = X < a_shape.w ? X : a_shape.w - 1;
-  int a_w = Y < a_shape.z ? Y : a_shape.z - 1;
-  int a_h = Z < a_shape.y ? Z : a_shape.y - 1;
-  FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_h));
-  int b_c = X < b_shape.w ? X : b_shape.w - 1;
-  int b_w = Y < b_shape.z ? Y : b_shape.z - 1;
-  int b_h = Z < b_shape.y ? Z : b_shape.y - 1;
-  FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_h));
+  int Z = get_global_id(2);  // N * H
+  if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.y * output_shape.x) {
+    return;
+  }
+  int H = Z % output_shape.y;
+  int N = Z / output_shape.y;
+  int a_c = X < a_shape.w ? X : 0;
+  int a_w = Y < a_shape.z ? Y : 0;
+  int a_h = H < a_shape.y ? H : 0;
+  int a_n = N < a_shape.x ? N : 0;
+  FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_n * a_shape.y + a_h));
+  int b_c = X < b_shape.w ? X : 0;
+  int b_w = Y < b_shape.z ? Y : 0;
+  int b_h = H < b_shape.y ? H : 0;
+  int b_n = N < b_shape.x ? N : 0;
+  FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_n * b_shape.y + b_h));
   FLT4 result;
   if (broadcastC_flag == 0) {
     result = a + b;
@@ -323,18 +331,22 @@ __kernel void BroadcastNHWC4Sub(__read_only image2d_t input_a, __read_only image
                                 const int4 output_shape, const int broadcastC_flag, float act_min, float act_max) {
   int X = get_global_id(0);  // C4
   int Y = get_global_id(1);  // W
-  int Z = get_global_id(2);  // H
-  if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.y) {
-    return;
-  }
-  int a_c = X < a_shape.w ? X : a_shape.w - 1;
-  int a_w = Y < a_shape.z ? Y : a_shape.z - 1;
-  int a_h = Z < a_shape.y ? Z : a_shape.y - 1;
-  FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_h));
-  int b_c = X < b_shape.w ? X : b_shape.w - 1;
-  int b_w = Y < b_shape.z ? Y : b_shape.z - 1;
-  int b_h = Z < b_shape.y ? Z : b_shape.y - 1;
-  FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_h));
+  int Z = get_global_id(2);  // N * H
+  if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.y * output_shape.x) {
+    return;
+  }
+  int H = Z % output_shape.y;
+  int N = Z / output_shape.y;
+  int a_c = X < a_shape.w ? X : 0;
+  int a_w = Y < a_shape.z ? Y : 0;
+  int a_h = H < a_shape.y ? H : 0;
+  int a_n = N < a_shape.x ? N : 0;
+  FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_n * a_shape.y + a_h));
+  int b_c = X < b_shape.w ? X : 0;
+  int b_w = Y < b_shape.z ? Y : 0;
+  int b_h = H < b_shape.y ? H : 0;
+  int b_n = N < b_shape.x ? N : 0;
+  FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_n * b_shape.y + b_h));
   FLT4 result;
   if (broadcastC_flag == 0) {
     result = a - b;
@@ -352,18 +364,22 @@ __kernel void BroadcastNHWC4Mul(__read_only image2d_t input_a, __read_only image
                                 const int4 output_shape, const int broadcastC_flag, float act_min, float act_max) {
   int X = get_global_id(0);  // C4
   int Y = get_global_id(1);  // W
-  int Z = get_global_id(2);  // H
-  if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.y) {
-    return;
-  }
-  int a_c = X < a_shape.w ? X : a_shape.w - 1;
-  int a_w = Y < a_shape.z ? Y : a_shape.z - 1;
-  int a_h = Z < a_shape.y ? Z : a_shape.y - 1;
-  FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_h));
-  int b_c = X < b_shape.w ? X : b_shape.w - 1;
-  int b_w = Y < b_shape.z ? Y : b_shape.z - 1;
-  int b_h = Z < b_shape.y ? Z : b_shape.y - 1;
-  FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_h));
+  int Z = get_global_id(2);  // N * H
+  if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.y * output_shape.x) {
+    return;
+  }
+  int H = Z % output_shape.y;
+  int N = Z / output_shape.y;
+  int a_c = X < a_shape.w ? X : 0;
+  int a_w = Y < a_shape.z ? Y : 0;
+  int a_h = H < a_shape.y ? H : 0;
+  int a_n = N < a_shape.x ? N : 0;
+  FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_n * a_shape.y + a_h));
+  int b_c = X < b_shape.w ? X : 0;
+  int b_w = Y < b_shape.z ? Y : 0;
+  int b_h = H < b_shape.y ? H : 0;
+  int b_n = N < b_shape.x ? N : 0;
+  FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_n * b_shape.y + b_h));
   FLT4 result;
   if (broadcastC_flag == 0) {
     result = a * b;
@@ -381,18 +397,22 @@ __kernel void BroadcastNHWC4Div(__read_only image2d_t input_a, __read_only image
                                 const int4 output_shape, const int broadcastC_flag, float act_min, float act_max) {
   int X = get_global_id(0);  // C4
   int Y = get_global_id(1);  // W
-  int Z = get_global_id(2);  // H
-  if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.y) {
-    return;
-  }
-  int a_c = X < a_shape.w ? X : a_shape.w - 1;
-  int a_w = Y < a_shape.z ? Y : a_shape.z - 1;
-  int a_h = Z < a_shape.y ? Z : a_shape.y - 1;
-  FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_h));
-  int b_c = X < b_shape.w ? X : b_shape.w - 1;
-  int b_w = Y < b_shape.z ? Y : b_shape.z - 1;
-  int b_h = Z < b_shape.y ? Z : b_shape.y - 1;
-  FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_h));
+  int Z = get_global_id(2);  // N * H
+  if (X >= output_shape.w || Y >= output_shape.z || Z >= output_shape.y * output_shape.x) {
+    return;
+  }
+  int H = Z % output_shape.y;
+  int N = Z / output_shape.y;
+  int a_c = X < a_shape.w ? X : 0;
+  int a_w = Y < a_shape.z ? Y : 0;
+  int a_h = H < a_shape.y ? H : 0;
+  int a_n = N < a_shape.x ? N : 0;
+  FLT4 a = READ_IMAGE(input_a, smp_none, (int2)(a_w * a_shape.w + a_c, a_n * a_shape.y + a_h));
+  int b_c = X < b_shape.w ? X : 0;
+  int b_w = Y < b_shape.z ? Y : 0;
+  int b_h = H < b_shape.y ? H : 0;
+  int b_n = N < b_shape.x ? N : 0;
+  FLT4 b = READ_IMAGE(input_b, smp_none, (int2)(b_w * b_shape.w + b_c, b_n * b_shape.y + b_h));
   FLT4 result;
   if (broadcastC_flag == 0) {
     result = a / b;
diff --git a/mindspore/lite/src/runtime/kernel/opencl/kernel/arithmetic.cc b/mindspore/lite/src/runtime/kernel/opencl/kernel/arithmetic.cc
index abe905b636..34d258ca16 100644
--- a/mindspore/lite/src/runtime/kernel/opencl/kernel/arithmetic.cc
+++ b/mindspore/lite/src/runtime/kernel/opencl/kernel/arithmetic.cc
@@ -46,10 +46,6 @@ int ArithmeticOpenCLKernel::CheckSpecs() {
     return RET_ERROR;
   }
   auto *param = reinterpret_cast<const ArithmeticParameter *>(op_parameter_);
-  if (param->broadcasting_ && out_tensors_.front()->DimensionSize(0) > 1) {
-    MS_LOG(ERROR) << "Broadcasting don't support  N > 1";
-    return RET_ERROR;
-  }
   if (!IsArithmetic(Type())) {
     MS_LOG(ERROR) << "UnSupported Operator: " << schema::EnumNamePrimitiveType(Type());
     return RET_ERROR;
diff --git a/mindspore/lite/test/ut/src/runtime/kernel/opencl/arithmetic_tests.cc b/mindspore/lite/test/ut/src/runtime/kernel/opencl/arithmetic_tests.cc
index 87bad0fdf2..703c43aa33 100644
--- a/mindspore/lite/test/ut/src/runtime/kernel/opencl/arithmetic_tests.cc
+++ b/mindspore/lite/test/ut/src/runtime/kernel/opencl/arithmetic_tests.cc
@@ -112,6 +112,20 @@ TEST_F(TestOpenCL_Arithmetic, BroadcastSub2) {
   }
 }
 
+TEST_F(TestOpenCL_Arithmetic, BroadcastSub3) {
+  std::vector<int> input0_shape = {2, 3};
+  std::vector<int> input1_shape = {2, 2, 2, 3};
+  std::vector<int> output_shape = {2, 2, 2, 3};
+  float input0_data[] = {1, 2, 3, 1, 2, 3};
+  float input1_data[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12};
+  float output_data[] = {0, 0, 0, -3, -3, -3, -6, -6, -6, -9, -9, -9, 0, 0, 0, -3, -3, -3, -6, -6, -6, -9, -9, -9};
+  for (auto fp16_enable : {false, true}) {
+    auto *param = CreateParameter(schema::PrimitiveType_Sub, input0_shape, input1_shape);
+    TestMain({{input0_shape, input0_data, VAR}, {input1_shape, input1_data, CONST_TENSOR}}, {output_shape, output_data},
+             param, fp16_enable);
+  }
+}
+
 TEST_F(TestOpenCL_Arithmetic, BroadcastFloorMod) {
   std::vector<int> input0_shape = {1, 1, 3, 4};
   std::vector<int> input1_shape = {1, 1, 1, 4};