| User | kasid |
| Upload Date | September 22 2025 04:37 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home Single Language (64-bit) |
| Model | LENOVO 82FE |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.8 IPS |
|
|
Image Classification (Q)
|
99% |
3559
663.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
1959
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2270
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1863
2.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
8670
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
1239
98.3 IPS |
|
|
Object Detection (HP)
|
100% |
424
33.6 IPS |
|
|
Object Detection (Q)
|
86% |
3008
241.8 IPS |
|
|
Face Detection (SP)
|
100% |
2127
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
841
9.99 IPS |
|
|
Face Detection (Q)
|
97% |
4805
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2969
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1249
9.62 IPS |
|
|
Depth Estimation (Q)
|
78% |
7144
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5440
6.99 IPS |
|
|
Style Transfer (HP)
|
100% |
4708
6.05 IPS |
|
|
Style Transfer (Q)
|
98% |
9342
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1001
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3521
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
1245
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
578
771.0 IPS |
|
|
Text Classification (Q)
|
97% |
440
589.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.86 IPS |
|
|
Machine Translation (Q)
|
65% |
1540
30.9 IPS |