| User | gbdora |
| Upload Date | February 21 2025 02:03 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-8250U CPU @ 1.60GHz |
| 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% |
1174
218.3 IPS |
|
|
Image Classification (HP)
|
100% |
1134
210.8 IPS |
|
|
Image Classification (Q)
|
100% |
1726
321.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1978
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2343
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1709
1.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
3508
4.12 IPS |
|
|
Object Detection (SP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (HP)
|
100% |
994
78.8 IPS |
|
|
Object Detection (Q)
|
87% |
1909
153.1 IPS |
|
|
Face Detection (SP)
|
100% |
1873
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
1897
22.5 IPS |
|
|
Face Detection (Q)
|
97% |
4477
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2603
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2842
21.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
5201
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5625
7.23 IPS |
|
|
Style Transfer (HP)
|
100% |
5617
7.22 IPS |
|
|
Style Transfer (Q)
|
98% |
12552
16.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1268
46.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1289
47.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2615
96.9 IPS |
|
|
Text Classification (SP)
|
100% |
1455
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1542
2.06 KIPS |
|
|
Text Classification (Q)
|
91% |
1085
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1567
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1617
27.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1617
27.9 IPS |