diff --git a/src/tim/transform/rnncell_layout_inference_test.cc b/src/tim/transform/rnncell_layout_inference_test.cc
index 4f07156..d63e967 100644
--- a/src/tim/transform/rnncell_layout_inference_test.cc
+++ b/src/tim/transform/rnncell_layout_inference_test.cc
@@ -12,6 +12,7 @@
 TEST(RNNCell, layout_infer_align) {
   auto ctx = tim::vx::Context::Create();
   auto graph = ctx->CreateGraph();
+  float tolerance = ctx->hasSP() ? 1e-4f : 1e-5f;
 
   uint32_t input_size = 3, batch_size = 2, num_units = 4;
 
@@ -99,13 +100,14 @@ TEST(RNNCell, layout_infer_align) {
   std::vector<uint8_t> state_out(state_out_golden.size());
   EXPECT_TRUE(infer_output->CopyDataFromTensor(output.data()));
   EXPECT_TRUE(infer_output_state->CopyDataFromTensor(state_out.data()));
-  EXPECT_TRUE(ArraysMatch(output_golden, output, 1e-5f));
+  EXPECT_TRUE(ArraysMatch(output_golden, output, tolerance));
   EXPECT_EQ(state_out_golden, state_out);
 }
 
 TEST(RNNCell, layout_infer_notalign) {
   auto ctx = tim::vx::Context::Create();
   auto graph = ctx->CreateGraph();
+  float tolerance = ctx->hasSP() ? 1e-4f : 1e-5f;
 
   uint32_t input_size = 3, batch_size = 2, num_units = 4;
 
@@ -200,6 +202,6 @@ TEST(RNNCell, layout_infer_notalign) {
   std::vector<uint8_t> state_out(state_out_golden.size());
   EXPECT_TRUE(infer_output->CopyDataFromTensor(output.data()));
   EXPECT_TRUE(infer_output_state->CopyDataFromTensor(state_out.data()));
-  EXPECT_TRUE(ArraysMatch(output_golden, output, 1e-5f));
+  EXPECT_TRUE(ArraysMatch(output_golden, output, tolerance));
   EXPECT_EQ(state_out_golden, state_out);
 }
\ No newline at end of file
diff --git a/src/tim/vx/ops/activations_test.cc b/src/tim/vx/ops/activations_test.cc
index 553cd02..ace858f 100644
--- a/src/tim/vx/ops/activations_test.cc
+++ b/src/tim/vx/ops/activations_test.cc
@@ -462,6 +462,7 @@ TEST(SoftSign, shape_5_1_fp32) {
 TEST(HardSwish, 40_f32) {
   auto ctx = tim::vx::Context::Create();
   auto graph = ctx->CreateGraph();
+  float tolerance = ctx->hasSP() ? 1e-3f : 1e-5f;
 
   tim::vx::ShapeType io_shape({40});
   tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32, io_shape,
@@ -500,5 +501,5 @@ TEST(HardSwish, 40_f32) {
   EXPECT_TRUE(graph->Run());
   std::vector<float> output(40);
   EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
-  EXPECT_TRUE(ArraysMatch(golden, output, 1e-5f));
+  EXPECT_TRUE(ArraysMatch(golden, output, tolerance));
 }
\ No newline at end of file
diff --git a/src/tim/vx/ops/reduce_test.cc b/src/tim/vx/ops/reduce_test.cc
index 5ee5cc3..3145478 100644
--- a/src/tim/vx/ops/reduce_test.cc
+++ b/src/tim/vx/ops/reduce_test.cc
@@ -30,6 +30,7 @@
 TEST(Reduce_sum, NotKeepDims) {
   auto ctx = tim::vx::Context::Create();
   auto graph = ctx->CreateGraph();
+  float tolerance = ctx->hasSP() ? 0.01568627544 : 1e-5f;
 
   tim::vx::ShapeType input_shape({2, 3, 1});
   tim::vx::ShapeType output_shape({2, 1});
@@ -75,12 +76,13 @@ TEST(Reduce_sum, NotKeepDims) {
 
   std::vector<float> output(golden.size());
   EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
-  EXPECT_TRUE(ArraysMatch(golden, output, 1e-5f));
+  EXPECT_TRUE(ArraysMatch(golden, output, tolerance));
 }
 
 TEST(Reduce_sum, KeepDims) {
   auto ctx = tim::vx::Context::Create();
   if (ctx->isClOnly()) GTEST_SKIP();
+  float tolerance = ctx->hasSP() ? 0.01568627544 : 1e-5f;
 
   auto graph = ctx->CreateGraph();
   tim::vx::ShapeType input_shape({2, 3});
@@ -127,7 +129,7 @@ TEST(Reduce_sum, KeepDims) {
 
   std::vector<float> output(golden.size());
   EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
-  EXPECT_TRUE(ArraysMatch(golden, output, 1e-5f));
+  EXPECT_TRUE(ArraysMatch(golden, output, tolerance));
 }
 
 TEST(Reduce_all, KeepDims) {
diff --git a/src/tim/vx/ops/rnn_cell_test.cc b/src/tim/vx/ops/rnn_cell_test.cc
index ccb0add..8e28041 100644
--- a/src/tim/vx/ops/rnn_cell_test.cc
+++ b/src/tim/vx/ops/rnn_cell_test.cc
@@ -31,6 +31,7 @@
 TEST(RNNCell, shape_3_2_4_float) {
     auto ctx = tim::vx::Context::Create();
     auto graph = ctx->CreateGraph();
+    float tolerance = ctx->hasSP() ? 1e-4f : 1e-5f;
 
     uint32_t input_size = 3, batch_size = 2, num_units = 4;
 
@@ -118,13 +119,14 @@ TEST(RNNCell, shape_3_2_4_float) {
     EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
     EXPECT_TRUE(state_out_tensor->CopyDataFromTensor(state_out.data()));
 
-    EXPECT_TRUE(ArraysMatch(output_golden, output,1e-5f));
+    EXPECT_TRUE(ArraysMatch(output_golden, output, tolerance));
     EXPECT_EQ(state_out_golden, state_out);
 }
 
 TEST(RNNCell, seperate) {
     auto ctx = tim::vx::Context::Create();
     auto graph = ctx->CreateGraph();
+    float tolerance = ctx->hasSP() ? 1e-4f : 1e-5f;
     std::vector<float> in_data = {
         0.12609188,  0.46347019, 0.89598465,
         0.35867718,  0.36897406, 0.73463392,
@@ -236,6 +238,6 @@ TEST(RNNCell, seperate) {
     std::vector<uint8_t> state_out(state_out_golden.size());
     EXPECT_TRUE(activation_out_tensor->CopyDataFromTensor(output.data()));
     EXPECT_TRUE(convert_tensor->CopyDataFromTensor(state_out.data()));
-    EXPECT_TRUE(ArraysMatch(output_golden, output, 1e-5f));
+    EXPECT_TRUE(ArraysMatch(output_golden, output, tolerance));
     EXPECT_EQ(state_out_golden, state_out);
 }
\ No newline at end of file