Benchmarks
The Hailo-8™ AI Processor brings industry-leading neural processing throughput and power efficiency to support a wide range of AI applications.
The table below demonstrates some of Hailo-8’s best-in-class capabilities in the foundational neural tasks of object detection and classification. It achieves very high FPS and power efficiency (FPS/W) across a number of industry-standard neural network models, while also offloading postprocessing from the host processor its working with.
Benchmarks
| NN Model | Input Resolution | FPS | Power [W] | FPS/ W |
|---|---|---|---|---|
| ResNet_v1_50 | 224x224 | 1,276 | 3.1 | 415 |
| SSD_MobileNet_v1 | 300x300 | 1,039 | 2.3 | 447 |
| MobileNet_v2_1.0 | 224x224 | 2,612 | 2.2 | 1,169 |
| MobileNet_v3 * | 224x224 | 3,489 | 2 | 1,778 |
| Tiny_YOLOv3 | 416x416 | 986 | 3.2 | 312 |
| YOLOv3 ** | 608x608 | 60 | 4.3 | 14 |
| YOLOv4 ** | 512x512 | 68 | 3.1 | 22 |
| YOLOv5m | 640x640 | 218 | 4.4 | 50 |
| Regnetx-800MF | 224x224 | 2,404 | 1.9 | 1,272 |
| EfficientNet_M | 240x240 | 891 | 3.2 | 276 |
** Figure for processing 8 simultaneous video streams
Notes:
- Based on SDK version 3.9.0 (June 2021)
- Measurements are done at room temperature on a single Hailo-8 device through PCIe interface on a Hailo evaluation board
- System host: Intel® Core™ i5-9400 CPU @ 2.90GHz
Hailo-8 outperforms other edge AI processors on the market on common benchmarks.
Click here and here to see how it compares.