diff --git a/microsoft-resnet-50/aitk/resnet_qdq_amd_plus_estimate_npu_latency.json b/microsoft-resnet-50/aitk/resnet_qdq_amd_plus_estimate_npu_latency.json
new file mode 100644
index 00000000..32a4a4e2
--- /dev/null
+++ b/microsoft-resnet-50/aitk/resnet_qdq_amd_plus_estimate_npu_latency.json
@@ -0,0 +1,138 @@
+{
+    "input_model": {
+        "type": "HfModel",
+        "model_path": "microsoft/resnet-50",
+        "task": "image-classification",
+        "io_config": {
+            "input_names": [
+                "pixel_values"
+            ],
+            "input_shapes": [
+                [
+                    1,
+                    3,
+                    224,
+                    224
+                ]
+            ],
+            "output_names": [
+                "logits"
+            ]
+        }
+    },
+    "systems": {
+        "target_system": {
+            "type": "LocalSystem"
+        }
+    },
+    "data_configs": [
+        {
+            "name": "quantize_data_config",
+            "type": "HuggingfaceContainer",
+            "user_script": "imagenet.py",
+            "load_dataset_config": {
+                "data_name": "timm/mini-imagenet",
+                "split": "train",
+                "streaming": true
+            },
+            "pre_process_data_config": {
+                "type": "dataset_pre_process",
+                "size": 64,
+                "cache_key": "imagedata_quantization",
+                "transpose": true
+            },
+            "post_process_data_config": {
+                "type": "dataset_post_process"
+            }
+        },
+        {
+            "name": "evaluation_data_config",
+            "type": "HuggingfaceContainer",
+            "user_script": "imagenet.py",
+            "load_dataset_config": {
+                "data_name": "timm/mini-imagenet",
+                "split": "validation",
+                "streaming": true
+            },
+            "pre_process_data_config": {
+                "type": "dataset_pre_process",
+                "size": 1000,
+                "cache_key": "imagedata_evaluation",
+                "transpose": true
+            },
+            "post_process_data_config": {
+                "type": "dataset_post_process"
+            }
+        }
+    ],
+    "evaluators": {
+        "common_evaluator": {
+            "metrics": [
+                {
+                    "name": "accuracy",
+                    "type": "accuracy",
+                    "data_config": "quantize_data_config",
+                    "sub_types": [
+                        {
+                            "name": "accuracy_score",
+                            "priority": 1,
+                            "metric_config": {
+                                "task": "multiclass",
+                                "num_classes": 1001
+                            }
+                        }
+                    ]
+                },
+                {
+                    "name": "latency",
+                    "type": "latency",
+                    "data_config": "quantize_data_config",
+                    "sub_types": [
+                        {
+                            "name": "avg",
+                            "priority": 2
+                        }
+                    ]
+                }
+            ]
+        }
+    },
+    "passes": {
+        "conversion": {
+            "device": "cpu",
+            "type": "OnnxConversion",
+            "target_opset": 17,
+            "save_as_external_data": true,
+            "all_tensors_to_one_file": true,
+            "dynamic": false,
+            "use_dynamo_exporter": false
+        },
+        "transpose_input": {
+            "type": "InputNCHWtoNHWC"
+        },
+        "OnnxQuantization": {
+            "type": "OnnxQuantization",
+            "data_config": "quantize_data_config",
+            "activation_type": "uint8",
+            "precision": "uint8",
+            "calibrate_method": "MinMax",
+            "save_as_external_data": true
+        },
+        "addmetadata": {
+            "type": "VitisAIAddMetaData",
+            "config_meta_data_keys": [
+                "architectures",
+                "model_type"
+            ],
+            "activation_type": "uint8",
+            "weight_type": "uint8",
+            "quant_type": "OnnxStaticQuantization"
+        },
+        "estimate_npu_latency": { "type": "EstimateNPULatency", "target_device": "stx" }
+    },
+    "target": "target_system",
+    "evaluator": "common_evaluator",
+    "cache_dir": "cache",
+    "output_dir": "model/resnet_ptq_qnn",
+    "evaluate_input_model": false
+}
diff --git a/timm-mobilenetv3_small_100.lamb_in1k/olive/config_plus_estimate_npu_latency.json b/timm-mobilenetv3_small_100.lamb_in1k/olive/config_plus_estimate_npu_latency.json
new file mode 100644
index 00000000..f13a5a3a
--- /dev/null
+++ b/timm-mobilenetv3_small_100.lamb_in1k/olive/config_plus_estimate_npu_latency.json
@@ -0,0 +1,61 @@
+{
+    "input_model": {
+        "type": "PytorchModel",
+        "model_path": "timm/mobilenetv3_small_100.lamb_in1k",
+        "model_loader": "load_timm",
+        "model_script": "user_script.py",
+        "io_config": {
+            "input_names": [ "x" ],
+            "input_shapes": [ [ 1, 3, 224, 224 ] ],
+            "output_names": [ "output" ]
+        }
+    },
+    "systems": {
+        "local_system": {
+            "type": "LocalSystem"
+        }
+    },
+    "data_configs": [
+        {
+            "name": "imagenet1k",
+            "type": "HuggingfaceContainer",
+            "user_script": "imagenet.py",
+            "load_dataset_config": { "data_name": "imagenet-1k", "split": "validation", "streaming": true },
+            "pre_process_data_config": { "type": "dataset_pre_process", "size": 256, "cache_key": "imagenet256" },
+            "post_process_data_config": { "type": "imagenet_post_fun" }
+        }
+    ],
+    "evaluators": {
+        "common_evaluator": {
+            "metrics": [
+                {
+                    "name": "accuracy",
+                    "type": "accuracy",
+                    "backend": "huggingface_metrics",
+                    "data_config": "imagenet1k",
+                    "sub_types": [
+                        { "name": "accuracy", "priority": 1, "goal": { "type": "max-degradation", "value": 0.05 } }
+                    ]
+                },
+                {
+                    "name": "latency",
+                    "type": "latency",
+                    "data_config": "imagenet1k",
+                    "sub_types": [
+                        { "name": "avg", "priority": 2, "goal": { "type": "percent-min-improvement", "value": 0.1 } },
+                        { "name": "max" },
+                        { "name": "min" }
+                    ]
+                }
+            ]
+        }
+    },
+    "passes": {
+        "conversion": { "type": "OnnxConversion" },
+        "matmul4": { "type": "OnnxBlockWiseRtnQuantization", "accuracy_level": 4 },
+        "mnb_to_qdq": { "type": "MatMulNBitsToQDQ" },
+        "estimate_npu_latency": { "type": "EstimateNPULatency", "target_device": "stx" }
+    },
+    "evaluator": "common_evaluator",
+    "output_dir": "models/timm"
+}