| Upload Date | October 25 2025 10:27 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 21KCCTO1WW |
| Motherboard | LENOVO 21KCCTO1WW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3013
560.4 IPS |
|
|
Image Classification (HP)
|
100% |
5170
961.5 IPS |
|
|
Image Classification (Q)
|
100% |
7105
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3546
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8183
132.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11127
180.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11626
13.6 IPS |
|
|
Pose Estimation (HP)
|
99% |
10780
12.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
36678
42.9 IPS |
|
|
Object Detection (SP)
|
100% |
2945
233.6 IPS |
|
|
Object Detection (HP)
|
100% |
4870
386.3 IPS |
|
|
Object Detection (Q)
|
88% |
7586
607.9 IPS |
|
|
Face Detection (SP)
|
100% |
7274
86.4 IPS |
|
|
Face Detection (HP)
|
100% |
13640
162.1 IPS |
|
|
Face Detection (Q)
|
100% |
22804
271.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11556
89.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
19539
151.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
24096
187.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28798
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38860
50.0 IPS |
|
|
Style Transfer (Q)
|
98% |
85938
110.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4987
184.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8705
321.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14219
526.6 IPS |
|
|
Text Classification (SP)
|
71% |
1390
2.01 KIPS |
|
|
Text Classification (HP)
|
71% |
2251
3.26 KIPS |
|
|
Text Classification (Q)
|
92% |
2270
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1779
30.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3096
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2989
51.7 IPS |