| Upload Date | November 14 2025 02:12 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (64-bit) |
| Model | LENOVO 20W9S06700 |
| Motherboard | LENOVO 20W9S06700 |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
804
149.6 IPS |
|
|
Image Classification (HP)
|
100% |
790
146.9 IPS |
|
|
Image Classification (Q)
|
100% |
2756
512.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2607
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1422
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1220
1.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
6603
7.73 IPS |
|
|
Object Detection (SP)
|
100% |
808
64.1 IPS |
|
|
Object Detection (HP)
|
100% |
783
62.1 IPS |
|
|
Object Detection (Q)
|
88% |
2730
218.8 IPS |
|
|
Face Detection (SP)
|
100% |
2455
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
2480
29.5 IPS |
|
|
Face Detection (Q)
|
100% |
6544
77.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2088
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2153
16.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
6789
52.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4295
5.52 IPS |
|
|
Style Transfer (HP)
|
100% |
3545
4.56 IPS |
|
|
Style Transfer (Q)
|
98% |
16783
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3703
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
1106
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1120
1.49 KIPS |
|
|
Text Classification (Q)
|
92% |
2398
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1762
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1785
30.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1682
29.0 IPS |