# Power {#openvino_docs_ops_arithmetic_Power_1}
**Versioned name**: *Power-1*
**Category**: *Arithmetic binary*
**Short description**: *Power* performs element-wise power operation with two given tensors applying broadcasting rule specified in the *auto_broadcast* attribute.
**Detailed description**
As a first step input tensors *a* and *b* are broadcasted if their shapes differ. Broadcasting is performed according to `auto_broadcast` attribute specification. As a second step *Power* operation is computed element-wise on the input tensors *a* and *b* according to the formula below:
\f[
o_{i} = {a_{i} ^ b_{i}}
\f]
**Attributes**:
* *auto_broadcast*
* **Description**: specifies rules used for auto-broadcasting of input tensors.
* **Range of values**:
* *none* - no auto-broadcasting is allowed, all input shapes must match
* *numpy* - numpy broadcasting rules, description is available in [Broadcast Rules For Elementwise Operations](../broadcast_rules.md)
* **Type**: string
* **Default value**: "numpy"
* **Required**: *no*
**Inputs**
* **1**: A tensor of type *T* and arbitrary shape. **Required.**
* **2**: A tensor of type *T* and arbitrary shape. **Required.**
**Outputs**
* **1**: The result of element-wise power operation. A tensor of type *T* with shape equal to broadcasted shape of two inputs.
**Types**
* *T*: any numeric type.
**Examples**
*Example 1 - no broadcasting*
```xml
2565625656
```
*Example 2: numpy broadcasting*
```xml
8161715
```