diff --git a/1.0/ArmnnDriverImpl.cpp b/1.0/ArmnnDriverImpl.cpp
index 57f828c..ed0c0b3 100644
--- a/1.0/ArmnnDriverImpl.cpp
+++ b/1.0/ArmnnDriverImpl.cpp
@@ -11,10 +11,10 @@
 namespace
 {
 
-const char *g_Float32PerformanceExecTimeName      = "ArmNN.float32Performance.execTime";
-const char *g_Float32PerformancePowerUsageName    = "ArmNN.float32Performance.powerUsage";
-const char *g_Quantized8PerformanceExecTimeName   = "ArmNN.quantized8Performance.execTime";
-const char *g_Quantized8PerformancePowerUsageName = "ArmNN.quantized8Performance.powerUsage";
+const char *g_Float32PerformanceExecTimeName      = "vendor.ArmNN.float32Performance.execTime";
+const char *g_Float32PerformancePowerUsageName    = "vendor.ArmNN.float32Performance.powerUsage";
+const char *g_Quantized8PerformanceExecTimeName   = "vendor.ArmNN.quantized8Performance.execTime";
+const char *g_Quantized8PerformancePowerUsageName = "vendor.ArmNN.quantized8Performance.powerUsage";
 
 } // anonymous namespace
 
diff --git a/1.1/ArmnnDriverImpl.cpp b/1.1/ArmnnDriverImpl.cpp
index 1d1aaa7..758d0c2 100644
--- a/1.1/ArmnnDriverImpl.cpp
+++ b/1.1/ArmnnDriverImpl.cpp
@@ -11,12 +11,12 @@
 namespace
 {
 
-const char *g_Float32PerformanceExecTimeName                   = "ArmNN.float32Performance.execTime";
-const char *g_Float32PerformancePowerUsageName                 = "ArmNN.float32Performance.powerUsage";
-const char *g_Quantized8PerformanceExecTimeName                = "ArmNN.quantized8Performance.execTime";
-const char *g_Quantized8PerformancePowerUsageName              = "ArmNN.quantized8Performance.powerUsage";
-const char *g_RelaxedFloat32toFloat16PerformanceExecTime       = "ArmNN.relaxedFloat32toFloat16Performance.execTime";
-const char *g_RelaxedFloat32toFloat16PerformancePowerUsageName = "ArmNN.relaxedFloat32toFloat16Performance.powerUsage";
+const char *g_Float32PerformanceExecTimeName                   = "vendor.ArmNN.float32Performance.execTime";
+const char *g_Float32PerformancePowerUsageName                 = "vendor.ArmNN.float32Performance.powerUsage";
+const char *g_Quantized8PerformanceExecTimeName                = "vendor.ArmNN.quantized8Performance.execTime";
+const char *g_Quantized8PerformancePowerUsageName              = "vendor.ArmNN.quantized8Performance.powerUsage";
+const char *g_RelaxedFloat32toFloat16PerformanceExecTime       = "vendor.ArmNN.relaxedFloat32toFloat16Performance.execTime";
+const char *g_RelaxedFloat32toFloat16PerformancePowerUsageName = "vendor.ArmNN.relaxedFloat32toFloat16Performance.powerUsage";
 
 } // anonymous namespace
 
diff --git a/1.2/ArmnnDriverImpl.cpp b/1.2/ArmnnDriverImpl.cpp
index 3274a8a..5f8addd 100644
--- a/1.2/ArmnnDriverImpl.cpp
+++ b/1.2/ArmnnDriverImpl.cpp
@@ -16,47 +16,47 @@
 namespace
 {
 
-const char *g_RelaxedFloat32toFloat16PerformanceExecTime    = "ArmNN.relaxedFloat32toFloat16Performance.execTime";
-const char *g_RelaxedFloat32toFloat16PerformancePowerUsage  = "ArmNN.relaxedFloat32toFloat16Performance.powerUsage";
+const char *g_RelaxedFloat32toFloat16PerformanceExecTime    = "vendor.ArmNN.relaxedFloat32toFloat16Performance.execTime";
+const char *g_RelaxedFloat32toFloat16PerformancePowerUsage  = "vendor.ArmNN.relaxedFloat32toFloat16Performance.powerUsage";
 
-const char *g_OperandTypeTensorFloat32PerformanceExecTime   = "Armnn.operandTypeTensorFloat32Performance.execTime";
-const char *g_OperandTypeTensorFloat32PerformancePowerUsage = "Armnn.operandTypeTensorFloat32Performance.powerUsage";
+const char *g_OperandTypeTensorFloat32PerformanceExecTime   = "vendor.Armnn.operandTypeTensorFloat32Performance.execTime";
+const char *g_OperandTypeTensorFloat32PerformancePowerUsage = "vendor.Armnn.operandTypeTensorFloat32Performance.powerUsage";
 
-const char *g_OperandTypeFloat32PerformanceExecTime         = "Armnn.operandTypeFloat32Performance.execTime";
-const char *g_OperandTypeFloat32PerformancePowerUsage       = "Armnn.operandTypeFloat32Performance.powerUsage";
+const char *g_OperandTypeFloat32PerformanceExecTime         = "vendor.Armnn.operandTypeFloat32Performance.execTime";
+const char *g_OperandTypeFloat32PerformancePowerUsage       = "vendor.Armnn.operandTypeFloat32Performance.powerUsage";
 
-const char *g_OperandTypeTensorFloat16PerformanceExecTime   = "Armnn.operandTypeTensorFloat16Performance.execTime";
-const char *g_OperandTypeTensorFloat16PerformancePowerUsage = "Armnn.operandTypeTensorFloat16Performance.powerUsage";
+const char *g_OperandTypeTensorFloat16PerformanceExecTime   = "vendor.Armnn.operandTypeTensorFloat16Performance.execTime";
+const char *g_OperandTypeTensorFloat16PerformancePowerUsage = "vendor.Armnn.operandTypeTensorFloat16Performance.powerUsage";
 
-const char *g_OperandTypeFloat16PerformanceExecTime         = "Armnn.operandTypeFloat16Performance.execTime";
-const char *g_OperandTypeFloat16PerformancePowerUsage       = "Armnn.operandTypeFloat16Performance.powerUsage";
+const char *g_OperandTypeFloat16PerformanceExecTime         = "vendor.Armnn.operandTypeFloat16Performance.execTime";
+const char *g_OperandTypeFloat16PerformancePowerUsage       = "vendor.Armnn.operandTypeFloat16Performance.powerUsage";
 
 const char *g_OperandTypeTensorQuant8AsymmPerformanceExecTime =
-        "Armnn.operandTypeTensorQuant8AsymmPerformance.execTime";
+        "vendor.Armnn.operandTypeTensorQuant8AsymmPerformance.execTime";
 const char *g_OperandTypeTensorQuant8AsymmPerformancePowerUsage =
-        "Armnn.operandTypeTensorQuant8AsymmPerformance.powerUsage";
+        "vendor.Armnn.operandTypeTensorQuant8AsymmPerformance.powerUsage";
 
 const char *g_OperandTypeTensorQuant16SymmPerformanceExecTime =
-        "Armnn.operandTypeTensorQuant16SymmPerformance.execTime";
+        "vendor.Armnn.operandTypeTensorQuant16SymmPerformance.execTime";
 const char *g_OperandTypeTensorQuant16SymmPerformancePowerUsage =
-        "Armnn.operandTypeTensorQuant16SymmPerformance.powerUsage";
+        "vendor.Armnn.operandTypeTensorQuant16SymmPerformance.powerUsage";
 
 const char *g_OperandTypeTensorQuant8SymmPerformanceExecTime =
-        "Armnn.operandTypeTensorQuant8SymmPerformance.execTime";
+        "vendor.Armnn.operandTypeTensorQuant8SymmPerformance.execTime";
 const char *g_OperandTypeTensorQuant8SymmPerformancePowerUsage =
-        "Armnn.operandTypeTensorQuant8SymmPerformance.powerUsage";
+        "vendor.Armnn.operandTypeTensorQuant8SymmPerformance.powerUsage";
 
 const char *g_OperandTypeTensorQuant8SymmPerChannelPerformanceExecTime =
-    "Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.execTime";
+    "vendor.Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.execTime";
 const char *g_OperandTypeTensorQuant8SymmPerChannelPerformancePowerUsage =
-    "Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.powerUsage";
+    "vendor.Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.powerUsage";
 
 
-const char *g_OperandTypeTensorInt32PerformanceExecTime     = "Armnn.operandTypeTensorInt32Performance.execTime";
-const char *g_OperandTypeTensorInt32PerformancePowerUsage   = "Armnn.operandTypeTensorInt32Performance.powerUsage";
+const char *g_OperandTypeTensorInt32PerformanceExecTime     = "vendor.Armnn.operandTypeTensorInt32Performance.execTime";
+const char *g_OperandTypeTensorInt32PerformancePowerUsage   = "vendor.Armnn.operandTypeTensorInt32Performance.powerUsage";
 
-const char *g_OperandTypeInt32PerformanceExecTime           = "Armnn.operandTypeInt32Performance.execTime";
-const char *g_OperandTypeInt32PerformancePowerUsage         = "Armnn.operandTypeInt32Performance.powerUsage";
+const char *g_OperandTypeInt32PerformanceExecTime           = "vendor.Armnn.operandTypeInt32Performance.execTime";
+const char *g_OperandTypeInt32PerformancePowerUsage         = "vendor.Armnn.operandTypeInt32Performance.powerUsage";
 
 
 void NotifyCallbackAndCheck(const android::sp<V1_2::IPreparedModelCallback>& callback,
diff --git a/1.3/ArmnnDriverImpl.cpp b/1.3/ArmnnDriverImpl.cpp
index c8b1d96..86ec1a2 100644
--- a/1.3/ArmnnDriverImpl.cpp
+++ b/1.3/ArmnnDriverImpl.cpp
@@ -16,58 +16,58 @@
 
 namespace
 {
-const char *g_RelaxedFloat32toFloat16PerformanceExecTime    = "ArmNN.relaxedFloat32toFloat16Performance.execTime";
-const char *g_RelaxedFloat32toFloat16PerformancePowerUsage  = "ArmNN.relaxedFloat32toFloat16Performance.powerUsage";
+const char *g_RelaxedFloat32toFloat16PerformanceExecTime    = "vendor.ArmNN.relaxedFloat32toFloat16Performance.execTime";
+const char *g_RelaxedFloat32toFloat16PerformancePowerUsage  = "vendor.ArmNN.relaxedFloat32toFloat16Performance.powerUsage";
 
-const char *g_ifPerformanceExecTime                         = "ArmNN.ifPerformance.execTime";
-const char *g_ifPerformancePowerUsage                       = "ArmNN.ifPerformance.powerUsage";
+const char *g_ifPerformanceExecTime                         = "vendor.ArmNN.ifPerformance.execTime";
+const char *g_ifPerformancePowerUsage                       = "vendor.ArmNN.ifPerformance.powerUsage";
 
-const char *g_whilePerformanceExecTime                      = "ArmNN.whilePerformance.execTime";
-const char *g_whilePerformancePowerUsage                    = "ArmNN.whilePerformance.powerUsage";
+const char *g_whilePerformanceExecTime                      = "vendor.ArmNN.whilePerformance.execTime";
+const char *g_whilePerformancePowerUsage                    = "vendor.ArmNN.whilePerformance.powerUsage";
 
-const char *g_OperandTypeTensorFloat32PerformanceExecTime   = "Armnn.operandTypeTensorFloat32Performance.execTime";
-const char *g_OperandTypeTensorFloat32PerformancePowerUsage = "Armnn.operandTypeTensorFloat32Performance.powerUsage";
+const char *g_OperandTypeTensorFloat32PerformanceExecTime   = "vendor.Armnn.operandTypeTensorFloat32Performance.execTime";
+const char *g_OperandTypeTensorFloat32PerformancePowerUsage = "vendor.Armnn.operandTypeTensorFloat32Performance.powerUsage";
 
-const char *g_OperandTypeFloat32PerformanceExecTime         = "Armnn.operandTypeFloat32Performance.execTime";
-const char *g_OperandTypeFloat32PerformancePowerUsage       = "Armnn.operandTypeFloat32Performance.powerUsage";
+const char *g_OperandTypeFloat32PerformanceExecTime         = "vendor.Armnn.operandTypeFloat32Performance.execTime";
+const char *g_OperandTypeFloat32PerformancePowerUsage       = "vendor.Armnn.operandTypeFloat32Performance.powerUsage";
 
-const char *g_OperandTypeTensorFloat16PerformanceExecTime   = "Armnn.operandTypeTensorFloat16Performance.execTime";
-const char *g_OperandTypeTensorFloat16PerformancePowerUsage = "Armnn.operandTypeTensorFloat16Performance.powerUsage";
+const char *g_OperandTypeTensorFloat16PerformanceExecTime   = "vendor.Armnn.operandTypeTensorFloat16Performance.execTime";
+const char *g_OperandTypeTensorFloat16PerformancePowerUsage = "vendor.Armnn.operandTypeTensorFloat16Performance.powerUsage";
 
-const char *g_OperandTypeFloat16PerformanceExecTime         = "Armnn.operandTypeFloat16Performance.execTime";
-const char *g_OperandTypeFloat16PerformancePowerUsage       = "Armnn.operandTypeFloat16Performance.powerUsage";
+const char *g_OperandTypeFloat16PerformanceExecTime         = "vendor.Armnn.operandTypeFloat16Performance.execTime";
+const char *g_OperandTypeFloat16PerformancePowerUsage       = "vendor.Armnn.operandTypeFloat16Performance.powerUsage";
 
 const char *g_OperandTypeTensorQuant8AsymmPerformanceExecTime =
-        "Armnn.operandTypeTensorQuant8AsymmPerformance.execTime";
+        "vendor.Armnn.operandTypeTensorQuant8AsymmPerformance.execTime";
 const char *g_OperandTypeTensorQuant8AsymmPerformancePowerUsage =
-        "Armnn.operandTypeTensorQuant8AsymmPerformance.powerUsage";
+        "vendor.Armnn.operandTypeTensorQuant8AsymmPerformance.powerUsage";
 
 const char *g_OperandTypeTensorQuant8AsymmSignedPerformanceExecTime =
-    "Armnn.operandTypeTensorQuant8AsymmSignedPerformance.execTime";
+    "vendor.Armnn.operandTypeTensorQuant8AsymmSignedPerformance.execTime";
 const char *g_OperandTypeTensorQuant8AsymmSignedPerformancePowerUsage =
-    "Armnn.operandTypeTensorQuant8AsymmSignedPerformance.powerUsage";
+    "vendor.Armnn.operandTypeTensorQuant8AsymmSignedPerformance.powerUsage";
 
 const char *g_OperandTypeTensorQuant16SymmPerformanceExecTime =
-        "Armnn.operandTypeTensorQuant16SymmPerformance.execTime";
+        "vendor.Armnn.operandTypeTensorQuant16SymmPerformance.execTime";
 const char *g_OperandTypeTensorQuant16SymmPerformancePowerUsage =
-        "Armnn.operandTypeTensorQuant16SymmPerformance.powerUsage";
+        "vendor.Armnn.operandTypeTensorQuant16SymmPerformance.powerUsage";
 
 const char *g_OperandTypeTensorQuant8SymmPerformanceExecTime =
-        "Armnn.operandTypeTensorQuant8SymmPerformance.execTime";
+        "vendor.Armnn.operandTypeTensorQuant8SymmPerformance.execTime";
 const char *g_OperandTypeTensorQuant8SymmPerformancePowerUsage =
-        "Armnn.operandTypeTensorQuant8SymmPerformance.powerUsage";
+        "vendor.Armnn.operandTypeTensorQuant8SymmPerformance.powerUsage";
 
 const char *g_OperandTypeTensorQuant8SymmPerChannelPerformanceExecTime =
-    "Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.execTime";
+    "vendor.Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.execTime";
 const char *g_OperandTypeTensorQuant8SymmPerChannelPerformancePowerUsage =
-    "Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.powerUsage";
+    "vendor.Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.powerUsage";
 
 
-const char *g_OperandTypeTensorInt32PerformanceExecTime     = "Armnn.operandTypeTensorInt32Performance.execTime";
-const char *g_OperandTypeTensorInt32PerformancePowerUsage   = "Armnn.operandTypeTensorInt32Performance.powerUsage";
+const char *g_OperandTypeTensorInt32PerformanceExecTime     = "vendor.Armnn.operandTypeTensorInt32Performance.execTime";
+const char *g_OperandTypeTensorInt32PerformancePowerUsage   = "vendor.Armnn.operandTypeTensorInt32Performance.powerUsage";
 
-const char *g_OperandTypeInt32PerformanceExecTime           = "Armnn.operandTypeInt32Performance.execTime";
-const char *g_OperandTypeInt32PerformancePowerUsage         = "Armnn.operandTypeInt32Performance.powerUsage";
+const char *g_OperandTypeInt32PerformanceExecTime           = "vendor.Armnn.operandTypeInt32Performance.execTime";
+const char *g_OperandTypeInt32PerformancePowerUsage         = "vendor.Armnn.operandTypeInt32Performance.powerUsage";
 
 
 void NotifyCallbackAndCheck(const android::sp<V1_3::IPreparedModelCallback>& callback,
diff --git a/test/1.2/Capabilities.cpp b/test/1.2/Capabilities.cpp
index 41d5ee5..8c98485 100644
--- a/test/1.2/Capabilities.cpp
+++ b/test/1.2/Capabilities.cpp
@@ -32,26 +32,26 @@ struct CapabilitiesFixture
     {
         const char* nullStr = "";
 
-        __system_property_set("Armnn.operandTypeTensorFloat32Performance.execTime", nullStr);
-        __system_property_set("Armnn.operandTypeTensorFloat32Performance.powerUsage", nullStr);
-        __system_property_set("Armnn.operandTypeFloat32Performance.execTime", nullStr);
-        __system_property_set("Armnn.operandTypeFloat32Performance.powerUsage", nullStr);
-        __system_property_set("Armnn.operandTypeTensorFloat16Performance.execTime", nullStr);
-        __system_property_set("Armnn.operandTypeTensorFloat16Performance.powerUsage", nullStr);
-        __system_property_set("Armnn.operandTypeFloat16Performance.execTime", nullStr);
-        __system_property_set("Armnn.operandTypeFloat16Performance.powerUsage", nullStr);
-        __system_property_set("Armnn.operandTypeTensorQuant8AsymmPerformance.execTime", nullStr);
-        __system_property_set("Armnn.operandTypeTensorQuant8AsymmPerformance.powerUsage", nullStr);
-        __system_property_set("Armnn.operandTypeTensorQuant16SymmPerformance.execTime", nullStr);
-        __system_property_set("Armnn.operandTypeTensorQuant16SymmPerformance.powerUsage", nullStr);
-        __system_property_set("Armnn.operandTypeTensorInt32Performance.execTime", nullStr);
-        __system_property_set("Armnn.operandTypeTensorInt32Performance.powerUsage", nullStr);
-        __system_property_set("Armnn.operandTypeInt32Performance.execTime", nullStr);
-        __system_property_set("Armnn.operandTypeInt32Performance.powerUsage", nullStr);
-        __system_property_set("Armnn.operandTypeTensorQuant8SymmPerformance.execTime", nullStr);
-        __system_property_set("Armnn.operandTypeTensorQuant8SymmPerformance.powerUsage", nullStr);
-        __system_property_set("Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.execTime", nullStr);
-        __system_property_set("Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.powerUsage", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeTensorFloat32Performance.execTime", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeTensorFloat32Performance.powerUsage", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeFloat32Performance.execTime", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeFloat32Performance.powerUsage", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeTensorFloat16Performance.execTime", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeTensorFloat16Performance.powerUsage", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeFloat16Performance.execTime", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeFloat16Performance.powerUsage", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeTensorQuant8AsymmPerformance.execTime", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeTensorQuant8AsymmPerformance.powerUsage", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeTensorQuant16SymmPerformance.execTime", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeTensorQuant16SymmPerformance.powerUsage", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeTensorInt32Performance.execTime", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeTensorInt32Performance.powerUsage", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeInt32Performance.execTime", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeInt32Performance.powerUsage", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeTensorQuant8SymmPerformance.execTime", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeTensorQuant8SymmPerformance.powerUsage", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.execTime", nullStr);
+        __system_property_set("vendor.Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.powerUsage", nullStr);
     }
 };
 
@@ -94,26 +94,26 @@ DOCTEST_TEST_CASE_FIXTURE(CapabilitiesFixture, "PerformanceCapabilitiesWithRunti
             DOCTEST_CHECK(result);
         };
 
-    __system_property_set("Armnn.operandTypeTensorFloat32Performance.execTime", "2.0f");
-    __system_property_set("Armnn.operandTypeTensorFloat32Performance.powerUsage", "2.1f");
-    __system_property_set("Armnn.operandTypeFloat32Performance.execTime", "2.2f");
-    __system_property_set("Armnn.operandTypeFloat32Performance.powerUsage", "2.3f");
-    __system_property_set("Armnn.operandTypeTensorFloat16Performance.execTime", "2.4f");
-    __system_property_set("Armnn.operandTypeTensorFloat16Performance.powerUsage", "2.5f");
-    __system_property_set("Armnn.operandTypeFloat16Performance.execTime", "2.6f");
-    __system_property_set("Armnn.operandTypeFloat16Performance.powerUsage", "2.7f");
-    __system_property_set("Armnn.operandTypeTensorQuant8AsymmPerformance.execTime", "2.8f");
-    __system_property_set("Armnn.operandTypeTensorQuant8AsymmPerformance.powerUsage", "2.9f");
-    __system_property_set("Armnn.operandTypeTensorQuant16SymmPerformance.execTime", "3.0f");
-    __system_property_set("Armnn.operandTypeTensorQuant16SymmPerformance.powerUsage", "3.1f");
-    __system_property_set("Armnn.operandTypeTensorInt32Performance.execTime", "3.2f");
-    __system_property_set("Armnn.operandTypeTensorInt32Performance.powerUsage", "3.3f");
-    __system_property_set("Armnn.operandTypeInt32Performance.execTime", "3.4f");
-    __system_property_set("Armnn.operandTypeInt32Performance.powerUsage", "3.5f");
-    __system_property_set("Armnn.operandTypeTensorQuant8SymmPerformance.execTime", "2.8f");
-    __system_property_set("Armnn.operandTypeTensorQuant8SymmPerformance.powerUsage", "2.9f");
-    __system_property_set("Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.execTime", "2.8f");
-    __system_property_set("Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.powerUsage", "2.9f");
+    __system_property_set("vendor.Armnn.operandTypeTensorFloat32Performance.execTime", "2.0f");
+    __system_property_set("vendor.Armnn.operandTypeTensorFloat32Performance.powerUsage", "2.1f");
+    __system_property_set("vendor.Armnn.operandTypeFloat32Performance.execTime", "2.2f");
+    __system_property_set("vendor.Armnn.operandTypeFloat32Performance.powerUsage", "2.3f");
+    __system_property_set("vendor.Armnn.operandTypeTensorFloat16Performance.execTime", "2.4f");
+    __system_property_set("vendor.Armnn.operandTypeTensorFloat16Performance.powerUsage", "2.5f");
+    __system_property_set("vendor.Armnn.operandTypeFloat16Performance.execTime", "2.6f");
+    __system_property_set("vendor.Armnn.operandTypeFloat16Performance.powerUsage", "2.7f");
+    __system_property_set("vendor.Armnn.operandTypeTensorQuant8AsymmPerformance.execTime", "2.8f");
+    __system_property_set("vendor.Armnn.operandTypeTensorQuant8AsymmPerformance.powerUsage", "2.9f");
+    __system_property_set("vendor.Armnn.operandTypeTensorQuant16SymmPerformance.execTime", "3.0f");
+    __system_property_set("vendor.Armnn.operandTypeTensorQuant16SymmPerformance.powerUsage", "3.1f");
+    __system_property_set("vendor.Armnn.operandTypeTensorInt32Performance.execTime", "3.2f");
+    __system_property_set("vendor.Armnn.operandTypeTensorInt32Performance.powerUsage", "3.3f");
+    __system_property_set("vendor.Armnn.operandTypeInt32Performance.execTime", "3.4f");
+    __system_property_set("vendor.Armnn.operandTypeInt32Performance.powerUsage", "3.5f");
+    __system_property_set("vendor.Armnn.operandTypeTensorQuant8SymmPerformance.execTime", "2.8f");
+    __system_property_set("vendor.Armnn.operandTypeTensorQuant8SymmPerformance.powerUsage", "2.9f");
+    __system_property_set("vendor.Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.execTime", "2.8f");
+    __system_property_set("vendor.Armnn.operandTypeTensorQuant8SymmPerChannelPerformance.powerUsage", "2.9f");
 
     armnn::IRuntime::CreationOptions options;
     armnn::IRuntimePtr runtime(armnn::IRuntime::Create(options));