## POT tests references for test_nightly.py
All reference numbers for floating-point models were collected on the machine with i9-10920X CPU via Accuracy Checker. 
Openvino package build that was used - 2021.4.547

- mobilenet-ssd: 
   - map - 0.7251
- ssd_resnet50_512: 
   - map - 0.7966
- inceptionv1: 
   - accuracy@top1 - 0.6981
   - accuracy@top5 - 0.8961
- squeezenet1_1: 
   - accuracy@top1 - 0.5818
   - accuracy@top5 - 0.8062
- mobilenet-v1-1.0-224-tf: 
  - accuracy@top1 - 0.7111
  - accuracy@top5 - 0.8988
- mobilenet-v2-pytorch: 
  - accuracy@top1 - 0.7188
  - accuracy@top5 - 0.903
- resnet-50-pytorch: 
  - accuracy@top1 - 0.7613
  - accuracy@top5 - 0.9286
- googlenet-v3-pytorch: 
  - accuracy@top1 - 0.7769
  - accuracy@top5 - 0.937
- densenet-121: 
  - accuracy@top1 - 0.7442
  - accuracy@top5 - 0.9214
- octave-resnet-26-0.25: 
  - accuracy@top1 - 0.761
  - accuracy@top5 - 0.9256
- ssd_mobilenet_v1_coco: 
  - coco_precision - 0.2332
