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 ModelInput ResolutionFPSPower [W]FPS/ W
ResNet_v1_50224x2241,2763.1415
SSD_MobileNet_v1300x3001,0392.3447
MobileNet_v2_1.0224x2242,6122.21,169
MobileNet_v3 *224x2243,48921,778
Tiny_YOLOv3416x4169863.2312
YOLOv3 **608x608604.314
YOLOv4 **512x512683.122
YOLOv5m640x6402184.450
Regnetx-800MF224x2242,4041.91,272
EfficientNet_M240x2408913.2276
* MobileNet_v3 – the benchmarked model flavor is MobileNet_v3 Large Minimalistic
** 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.