| Task type |
Topology name |
Framework |
Input blob sizes |
Batch size |
| CPU: Intel(R) Xeon(R) Gold 6138 CPU @ 2.00GHz, CPU family: x86_64, GPU: Undefined, RAM size: 526963328 kB, OS family: Linux, OS version: Linux-5.15.0-52-generic-x86_64-with-Ubuntu-18.04-bionic, Python version: 3.6.9 |
| OpenVINO DLDT |
| CPU |
| FP32 |
|---|
| Latency Mode |
Throughput Mode |
|
| INT8 |
|---|
| Latency Mode |
Throughput Mode |
|
|---|
|
|
|---|
|
|
|
|
| CPU: Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz, CPU family: x86_64, GPU: Intel(R) UHD Graphics 630 [0x3e92] (iGPU), RAM size: 65714756 kB, OS family: Linux, OS version: Linux-5.15.0-52-generic-x86_64-with-Ubuntu-18.04-bionic, Python version: 3.6.9 |
| OpenVINO DLDT |
| CPU |
| FP32 |
|---|
| Latency Mode |
Throughput Mode |
|
| INT8 |
|---|
| Latency Mode |
Throughput Mode |
|
|---|
|
|
|
|
|---|
|
|
|
|
| CPU: Intel(R) Core(TM) i3-8100 CPU @ 3.60GHz, CPU family: x86_64, GPU: Intel(R) UHD Graphics 630 [0x3e91] (iGPU), RAM size: 32753200 kB, OS family: Linux, OS version: Linux-5.4.0-131-generic-x86_64-with-Ubuntu-18.04-bionic, Python version: 3.6.9 |
| OpenVINO DLDT |
| CPU |
| FP32 |
|---|
| Latency Mode |
Throughput Mode |
|
| INT8 |
|---|
| Latency Mode |
Throughput Mode |
|
|---|
|
|
|
|
|---|
|
|
|
|
| classification |
|
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|
| mobilenet-v3-large-1.0-224-tf |
|
| mobilenet-v3-small-1.0-224-tf |
| |
| |
| |
|
|
|
|
|
|
|
|
| semantic segmentation |
|
|
| road-segmentation-adas-0001 |
|
| semantic-segmentation-adas-0001 |
|
|
|
|
|
|
|
|
| detection |
|
| |
| |
| |
|
| ssd_mobilenet_v1_fpn_coco |
| |
| |
|
|
|
|
|
|
|
|
| detetction |
|
|
|
|
|
|
|
| object detection |
|
|
| face-detection-retail-0004 |
|
| face-detection-retail-0005 |
|
| person-detection-retail-0002 |
|
| person-detection-retail-0013 |
|
| person-detection-action-recognition-0005 |
|
| person-detection-action-recognition-0006 |
|
| person-detection-action-recognition-teacher-0002 |
|
| person-detection-raisinghand-recognition-0001 |
|
| pedestrian-detection-adas-0002 |
|
| pedestrian-and-vehicle-detector-adas-0001 |
|
| person-vehicle-bike-detection-crossroad-0078 |
|
| person-vehicle-bike-detection-crossroad-1016 |
|
| vehicle-detection-adas-0002 |
| |
| |
|
| yolo-v2-ava-sparse-35-0001 |
|
| yolo-v2-ava-sparse-70-0001 |
| |
|
| yolo-v2-tiny-ava-sparse-30-0001 |
|
| yolo-v2-tiny-ava-sparse-60-0001 |
|
|
|
|
|
|
|
|
| object recognition |
| age-gender-recognition-retail-0013 |
|
| head-pose-estimation-adas-0001 |
|
| license-plate-recognition-barrier-0001 |
|
| landmarks-regression-retail-0009 |
|
| facial-landmarks-35-adas-0002 |
|
| person-attributes-recognition-crossroad-0230 |
|
| gaze-estimation-adas-0002 |
|
|
|
|
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| |
|
| 1x3x60x60, 1x3x60x60, 1x3 |
|
|
|
|
|
|
| reidentification |
| face-reidentification-retail-0095 |
|
|
|
|
|
|
|
|
| human pose estimation |
| human-pose-estimation-0001 |
|
|
|
|
|
|
|
|
| image processing |
| single-image-super-resolution-1032 |
|
| single-image-super-resolution-1033 |
|
|
|
| 1x3x270x480, 1x3x1080x1920 |
|
| 1x3x360x640, 1x3x1080x1920 |
|
|
|
|
|
|
| image retrieval |
|
|
|
|
|
|
|
| compressed |
| resnet18-xnor-binary-onnx-0001 |
|
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