| User | varaganti_rahul |
| Upload Date | November 12 2025 10:09 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-1005G1 CPU @ 1.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 81WD |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1005G1 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.19 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
716
133.1 IPS |
|
|
Image Classification (HP)
|
100% |
735
136.7 IPS |
|
|
Image Classification (Q)
|
100% |
2200
409.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1986
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1300
1.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
1272
1.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
5121
6.00 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
100% |
719
57.0 IPS |
|
|
Object Detection (Q)
|
88% |
2318
185.8 IPS |
|
|
Face Detection (SP)
|
100% |
1901
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
1951
23.2 IPS |
|
|
Face Detection (Q)
|
100% |
5619
66.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1732
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1762
13.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
5933
46.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3485
4.48 IPS |
|
|
Style Transfer (HP)
|
100% |
3472
4.46 IPS |
|
|
Style Transfer (Q)
|
98% |
14065
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
767
28.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
752
27.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2902
107.5 IPS |
|
|
Text Classification (SP)
|
100% |
935
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
915
1.22 KIPS |
|
|
Text Classification (Q)
|
92% |
2157
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1413
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1502
25.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1442
24.8 IPS |