> For the complete documentation index, see [llms.txt](https://docs.degirum.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.degirum.com/orca/benchmarks.md).

# Benchmarks

This page presents performance benchmark data for the DeGirum Orca AI accelerator, listing frames per second (FPS) for various models under a batch size of 1.

This page provides performance benchmarks for the DeGirum® Orca accelerator across a variety of models. The frames per second (FPS) numbers were generated by running the [single\_model\_performance\_test.ipynb](https://github.com/DeGirum/PySDKExamples/blob/main/examples/benchmarks/single_model_performance_test.ipynb) notebook on an Orca accelerator (ORCA1). You can reproduce these results by running the same notebook locally or in the DeGirum AI Hub. All FPS numbers assume **batch\_size=1**. We update this page periodically as our compiler and software evolve, adding more models and improving performance.

These benchmarks were last updated on Oct 23, 2023.

| Model Name                                 | FPS |
| ------------------------------------------ | :-: |
| efficientnet\_es\_imagenet--224x224\_quant | 187 |
| mobiledet\_coco--320x320\_quant            | 128 |
| mobilenet\_v1\_imagenet--224x224\_quant    | 407 |
| mobilenet\_v2\_imagenet--224x224\_quant    | 360 |
| resnet50\_imagenet--224x224\_pruned\_quant | 250 |
| yolo\_v5s\_face\_det--512x512\_quant       | 126 |