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+name: Performance Issue Report
+description: This report is for the performance-related issue
+title: "[Performance]: "
+labels: ["performance", "support_request"]
+body:
+  - type: markdown
+    attributes:
+      value: |
+        Please provide all the necessary information to expedite the response.
+  - type: input
+    id: ov_version
+    attributes:
+      label: OpenVINO Version 
+      description: OpenVINO version, branch, or tag in OpenVINO GitHub
+      placeholder: 2021.4.0 LTS / Master Branch / tag 2022.3.0
+    validations:
+      required: false
+  - type: dropdown
+    id: os
+    attributes:
+      label: Operating System
+      description: What OS are you using? 
+      options:
+        - Ubuntu 18.04 (LTS)
+        - Ubuntu 20.04 (LTS)
+        - Ubuntu 22.04 (LTS)
+        - Windows System
+        - Red Hat Enterprise Linux 8
+        - OpenSUSE
+        - Android System
+        - Raspbian Stretch OS
+        - macOS Systems for Intel CPU
+        - macOS Systems for Apple Silicon
+        - WebAssembly
+        - WSL2 on Windows
+        - Other (Please specify in description)
+    validations:
+      required: true
+  - type: dropdown
+    id: device_use
+    attributes:
+      label: Device used for inference
+      description: What hardware are you using for inference?
+      options:
+        - CPU
+        - iGPU
+        - dGPU
+        - NPU
+    validations:
+      required: false
+  - type: dropdown
+    id: openvino_installation
+    attributes:
+      label: OpenVINO installation 
+      description: How do you install OpenVINO on your system?
+      options:
+        - PyPi
+        - Docker
+        - Build from source
+        - Other virtual machines 
+    validations:
+      required: true
+  - type: dropdown
+    id: openvino_api
+    attributes:
+      label: Programming Language 
+      description: What is the programming language you use in your performance test? 
+      options:
+        - Python
+        - C++
+        - Other
+    validations:
+      required: true
+  - type: dropdown
+    id: architecture
+    attributes:
+      label: Hardware Architecture 
+      description: What is your hardware architecture used in this test?
+      options:
+        - x86 (64 bits)
+        - x86 (32 bits)
+        - ARM (64 bits)
+        - ARM (32 bits)
+        - RISC-V
+        - Other (please specify in the description)
+    validations:
+      required: true
+  - type: input
+    id: model_name
+    attributes:
+      label: Model used
+      description: Please provide us the link to your model in the description
+      placeholder: ResNet50 / YOLOv4
+    validations:
+      required: true
+  - type: dropdown
+    id: model_quantized
+    attributes:
+      label: Quantized model?
+      description: Is your model quantized with model optimized?
+      options:
+        - 'Yes'
+        - 'No'
+    validations:
+      required: true
+  - type: textarea
+    id: target_platform
+    attributes:
+      label: Target Platform
+      description: |
+          You can also provide us full system log with the following command 
+          Windows cmd     - "systeminfo" 
+          Linux terminal  - "lscpu" and "lscpu -e"
+      placeholder: Paste your full platform/system information here 
+    validations:
+      required: false
+  - type: textarea
+    id: performance_description
+    attributes:
+      label: Performance issue description
+      description: What issue are you having, and what did you expect to happen instead?
+      placeholder: Please provide a detailed description of what happened
+      value: |
+          let us know the application you use for performance tests
+          e.g., hello_classification.py / benchmark_app / own test script
+          if you are using your own test script, could this reproduce using benchmark_app?
+    validations:
+      required: true
+  - type: textarea
+    id: step_by_step
+    attributes:
+      label: Step-by-step reproduction 
+      description: How can we reproduce your issue?
+      placeholder: Please provide detailed instructions on how to reproduce the issue
+    validations:
+      required: false
+  - type: checkboxes
+    id: terms
+    attributes:
+      label: Issue submission checklist
+      description: By submitting this issue, you agree to follow our [Code of Conduct](https://github.com/intel/intel-one-mono/blob/main/CODE_OF_CONDUCT.md)
+      options:
+        - label: I report the performance issue. It's not a question
+          required: true
+        - label: I checked the problem with the documentation, FAQ, open issues, Stack Overflow, etc., and have not found the solution
+          required: true
+        - label: There is reproducer code and related data files such as images, videos, models, etc.
+          required: true