diff --git a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/enforce_precision.cpp b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/enforce_precision.cpp
index 653f70d8f75..b473ff00dbd 100644
--- a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/enforce_precision.cpp
+++ b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/enforce_precision.cpp
@@ -4,7 +4,6 @@
 
 #include "snippets/enforce_precision.hpp"
 #include <gtest/gtest.h>
-#include <ngraph/ngraph.hpp>
 
 namespace ov {
 namespace test {
diff --git a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/fake_quantize_decomposition_test.cpp b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/fake_quantize_decomposition_test.cpp
index d01d7a0785c..42ab5f34595 100644
--- a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/fake_quantize_decomposition_test.cpp
+++ b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/fake_quantize_decomposition_test.cpp
@@ -8,7 +8,6 @@
 #include "snippets/fake_quantize_decomposition_test.hpp"
 
 using namespace LayerTestsDefinitions;
-using namespace ngraph;
 
 namespace {
 
@@ -16,7 +15,7 @@ namespace decompositionInSubgraph {
 const std::vector<TestValues> testValuesDecompositionScalars = {
     {
         ov::element::f32,
-        ngraph::Shape{1, 3, 16, 16},
+        ov::Shape{1, 3, 16, 16},
         ov::element::f32,
         1.f,
         {{}, {}, {}, {}},
@@ -25,23 +24,23 @@ const std::vector<TestValues> testValuesDecompositionScalars = {
 const std::vector<TestValues> testValuesDecompositionPerChannel = {
     {
         ov::element::f32,
-        ngraph::Shape{1, 3, 16, 16},
+        ov::Shape{1, 3, 16, 16},
         ov::element::f32,
         1.f,
         {{1, 3, 1, 1}, {1, 3, 1, 1}, {1, 3, 1, 1}, {1, 3, 1, 1}},
     },
     {
         ov::element::f32,
-        ngraph::Shape{1, 3, 16, 16},
+        ov::Shape{1, 3, 16, 16},
         ov::element::f32,
         1.f,
         {{1, 3, 1, 1}, {1, 3, 1, 1}, {}, {}},
     },
 };
 
-std::vector<std::pair<std::shared_ptr<Node>, std::pair<std::string, std::string> >> operations = {
-    {std::make_shared<opset1::Abs>(), {"Subgraph", "Abs,fakeQuantize"}},
-    {std::make_shared<ngraph::op::v4::Swish>(), {"Subgraph", "Swish,fakeQuantize"}},
+std::vector<std::pair<std::shared_ptr<ov::Node>, std::pair<std::string, std::string> >> operations = {
+    {std::make_shared<ov::op::v0::Abs>(), {"Subgraph", "Abs,fakeQuantize"}},
+    {std::make_shared<ov::op::v4::Swish>(), {"Subgraph", "Swish,fakeQuantize"}},
 };
 
 INSTANTIATE_TEST_SUITE_P(
@@ -83,36 +82,36 @@ namespace legacyFuse {
 const std::vector<TestValues> testValuesLegacyFuse = {
     {
         ov::element::f32,
-        ngraph::Shape{1, 3, 16, 16},
+        ov::Shape{1, 3, 16, 16},
         ov::element::f32,
         1.f,
         {{1, 3, 1, 1}, {1, 3, 1, 1}, {}, {}}
     },
     {
         ov::element::f32,
-        ngraph::Shape{1, 3, 16, 16},
+        ov::Shape{1, 3, 16, 16},
         ov::element::f32,
         1.f,
         {{}, {}, {1, 3, 1, 1}, {1, 3, 1, 1}}
     },
     {
         ov::element::f32,
-        ngraph::Shape{1, 3, 16, 16},
+        ov::Shape{1, 3, 16, 16},
         ov::element::f32,
         1.f,
         {{}, {}, {}, {}}
     },
     {
         ov::element::f32,
-        ngraph::Shape{1, 3, 16, 16},
+        ov::Shape{1, 3, 16, 16},
         ov::element::f32,
         1.f,
         {{1, 3, 1, 1}, {1, 3, 1, 1}, {1, 3, 1, 1}, {1, 3, 1, 1}}
     },
 };
 
-std::vector<std::pair<std::shared_ptr<Node>, std::pair<std::string, std::string>>> operations = {
-    {std::make_shared<opset1::Convolution>(), {"Convolution", "Convolution,fakeQuantize"}},
+std::vector<std::pair<std::shared_ptr<ov::Node>, std::pair<std::string, std::string>>> operations = {
+    {std::make_shared<ov::op::v1::Convolution>(), {"Convolution", "Convolution,fakeQuantize"}},
 };
 
 INSTANTIATE_TEST_SUITE_P(
diff --git a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/matmul.cpp b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/matmul.cpp
index 630cf4374ac..78c1c8dccf0 100644
--- a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/matmul.cpp
+++ b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/matmul.cpp
@@ -25,7 +25,7 @@ std::vector<std::vector<ov::PartialShape>> input_shapes{
 static inline std::vector<std::vector<element::Type>> quantized_precisions() {
     std::vector<std::vector<element::Type>> prc = {};
     // In Snippets MatMul INT8 is supported only on VNNI/AMX platforms
-    if (InferenceEngine::with_cpu_x86_avx512_core_vnni() || InferenceEngine::with_cpu_x86_avx512_core_amx_int8()) {
+    if (ov::with_cpu_x86_avx512_core_vnni() || ov::with_cpu_x86_avx512_core_amx_int8()) {
         prc.emplace_back(std::vector<element::Type>{element::i8, element::i8});
         prc.emplace_back(std::vector<element::Type>{element::u8, element::i8});
     }
@@ -40,7 +40,7 @@ static inline std::vector<std::vector<element::Type>> precisions(bool only_fp32
         auto quant = quantized_precisions();
         std::copy(quant.begin(), quant.end(), std::back_inserter(prc));
         // In Snippets MatMul BF16 is supported only on bf16/AMX platforms
-        if (InferenceEngine::with_cpu_x86_bfloat16() || InferenceEngine::with_cpu_x86_avx512_core_amx_bf16()) {
+        if (ov::with_cpu_x86_bfloat16() || ov::with_cpu_x86_avx512_core_amx_bf16()) {
             prc.emplace_back(std::vector<element::Type>{element::bf16, element::bf16});
         }
     }
diff --git a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/mha.cpp b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/mha.cpp
index 0aae38f4f48..608e2958313 100644
--- a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/mha.cpp
+++ b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/mha.cpp
@@ -30,7 +30,7 @@ const std::vector<std::vector<ov::PartialShape>> inputShapes_3D = {
 };
 
 static inline bool is_bf16_supported() {
-    return InferenceEngine::with_cpu_x86_bfloat16() || InferenceEngine::with_cpu_x86_avx512_core_amx_bf16();
+    return ov::with_cpu_x86_bfloat16() || ov::with_cpu_x86_avx512_core_amx_bf16();
 }
 
 static inline std::vector<std::vector<element::Type>> precision_f32(size_t count) {
diff --git a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/precision_propagation_convertion.cpp b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/precision_propagation_convertion.cpp
index 2bd4c7ddbdf..f52cbcc38cd 100644
--- a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/precision_propagation_convertion.cpp
+++ b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/precision_propagation_convertion.cpp
@@ -4,7 +4,6 @@
 
 #include "snippets/precision_propagation_convertion.hpp"
 #include <gtest/gtest.h>
-#include <ngraph/ngraph.hpp>
 
 namespace ov {
 namespace test {
diff --git a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/transpose_matmul.cpp b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/transpose_matmul.cpp
index 580f3a9b667..437c8c5b97e 100644
--- a/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/transpose_matmul.cpp
+++ b/src/plugins/intel_cpu/tests/functional/shared_tests_instances/snippets/transpose_matmul.cpp
@@ -18,12 +18,12 @@ static inline std::vector<std::vector<element::Type>> precisions(bool only_fp32
     };
     if (!only_fp32) {
         // In Snippets MatMul INT8 is supported only on VNNI/AMX platforms
-        if (InferenceEngine::with_cpu_x86_avx512_core_vnni() || InferenceEngine::with_cpu_x86_avx512_core_amx_int8()) {
+        if (ov::with_cpu_x86_avx512_core_vnni() || ov::with_cpu_x86_avx512_core_amx_int8()) {
             prc.emplace_back(std::vector<element::Type>{element::i8, element::i8});
             prc.emplace_back(std::vector<element::Type>{element::u8, element::i8});
         }
         // In Snippets MatMul BF16 is supported only on bf16/AMX platforms
-        if (InferenceEngine::with_cpu_x86_bfloat16() || InferenceEngine::with_cpu_x86_avx512_core_amx_bf16()) {
+        if (ov::with_cpu_x86_bfloat16() || ov::with_cpu_x86_avx512_core_amx_bf16()) {
             prc.emplace_back(std::vector<element::Type>{element::bf16, element::bf16});
         }
     }
@@ -115,12 +115,12 @@ static inline std::vector<std::vector<element::Type>> precisions(bool only_fp32
     };
     if (!only_fp32) {
         // In Snippets MatMul INT8 is supported only on VNNI/AMX platforms
-        if (InferenceEngine::with_cpu_x86_avx512_core_vnni() || InferenceEngine::with_cpu_x86_avx512_core_amx_int8()) {
+        if (ov::with_cpu_x86_avx512_core_vnni() || ov::with_cpu_x86_avx512_core_amx_int8()) {
             prc.emplace_back(std::vector<element::Type>{element::i8, element::i8});
             prc.emplace_back(std::vector<element::Type>{element::u8, element::i8});
         }
         // In Snippets MatMul BF16 is supported only on bf16/AMX platforms
-        if (InferenceEngine::with_cpu_x86_bfloat16() || InferenceEngine::with_cpu_x86_avx512_core_amx_bf16()) {
+        if (ov::with_cpu_x86_bfloat16() || ov::with_cpu_x86_avx512_core_amx_bf16()) {
             prc.emplace_back(std::vector<element::Type>{element::bf16, element::bf16});
         }
     }