# Measure and accelerate PyTorch Inference on Arm servers

## In this learning path

- [Introduction](https://learn.arm.com/learning-paths/servers-and-cloud-computing/torchbench/)
- [Measure and accelerate the inference performance of PyTorch models on Arm servers](https://learn.arm.com/learning-paths/servers-and-cloud-computing/torchbench/pytorch-benchmark/)
- [Next Steps](https://learn.arm.com/learning-paths/servers-and-cloud-computing/torchbench/_next-steps/)

## About this Learning Path

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| Skill level: | Introductory |
| Reading time: | 20 min |
| Last updated: | 09 Sep 2026 |

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| Author: | Pareena Verma , Arm<br>[GitHub](https://github.com/pareenaverma)<br>[LinkedIn](https://linkedin.com/in/pareena-verma-7853607) |
| Arm IP: | [Neoverse](https://support.arm.com/?tab=compute-ip&Product%20Type=Infrastructure%20Processors) |
| Tags: | [ML](https://learn.arm.com/tag/ml) [AWS Graviton](https://learn.arm.com/tag/aws-graviton) [Microsoft Azure Cobalt](https://learn.arm.com/tag/microsoft-azure-cobalt) [Google Axion](https://learn.arm.com/tag/google-axion) [Oracle Cloud Infrastructure (OCI) Ampere Compute](https://learn.arm.com/tag/oracle-cloud-infrastructure-oci-ampere-compute) [Linux](https://learn.arm.com/tag/linux) [Python](https://learn.arm.com/tag/python) [PyTorch](https://learn.arm.com/tag/pytorch) |

### Who is this for?
This is an introductory topic for software developers who want to learn how to measure and accelerate the performance of Natural Language Processing (NLP), vision and recommender PyTorch models on Arm-based servers.

### What will you learn?
After completing this Learning Path, you'll be able to perform the following tasks:
- Download and install the PyTorch Benchmarks suite.
- Evaluate PyTorch model inference performance on an Arm-based server using the PyTorch Benchmark suite.
- Compare the model inference performance using eager mode and `torch.compile` mode in PyTorch.

### Prerequisites
Before starting, you'll need the following prerequisites:
- An [Arm-based instance](https://learn.arm.com/learning-paths/servers-and-cloud-computing/csp/) from a cloud service provider or an on-premise Arm server.