| User | gbdora |
| Upload Date | August 16 2024 10:36 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 620 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LENOVO 81CN |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8250U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
977
181.7 IPS |
|
|
Image Classification (HP)
|
100% |
1452
270.0 IPS |
|
|
Image Classification (Q)
|
100% |
1335
248.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
903
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1660
27.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2099
2.45 IPS |
|
|
Pose Estimation (HP)
|
99% |
2124
2.49 IPS |
|
|
Pose Estimation (Q)
|
97% |
3030
3.55 IPS |
|
|
Object Detection (SP)
|
100% |
800
63.5 IPS |
|
|
Object Detection (HP)
|
99% |
1394
110.9 IPS |
|
|
Object Detection (Q)
|
88% |
1295
103.8 IPS |
|
|
Face Detection (SP)
|
100% |
1827
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
3351
39.8 IPS |
|
|
Face Detection (Q)
|
97% |
3192
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2575
19.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4629
35.8 IPS |
|
|
Depth Estimation (Q)
|
80% |
3476
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5807
7.46 IPS |
|
|
Style Transfer (HP)
|
100% |
8883
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7527
9.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1144
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1997
73.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1842
68.2 IPS |
|
|
Text Classification (SP)
|
71% |
517
747.3 IPS |
|
|
Text Classification (HP)
|
71% |
605
874.8 IPS |
|
|
Text Classification (Q)
|
92% |
476
640.1 IPS |
|
|
Machine Translation (SP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (HP)
|
97% |
779
13.5 IPS |
|
|
Machine Translation (Q)
|
90% |
758
13.2 IPS |