| Upload Date | October 28 2025 09:46 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X421EAY_S413EA |
| Motherboard | ASUSTeK COMPUTER INC. X421EAY |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1599
297.4 IPS |
|
|
Image Classification (HP)
|
100% |
428
79.6 IPS |
|
|
Image Classification (Q)
|
99% |
3868
721.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2469
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2503
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1959
2.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
10215
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1354
107.4 IPS |
|
|
Object Detection (HP)
|
100% |
510
40.5 IPS |
|
|
Object Detection (Q)
|
86% |
3091
248.4 IPS |
|
|
Face Detection (SP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
1089
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
5858
69.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4104
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1366
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8270
66.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7083
9.11 IPS |
|
|
Style Transfer (HP)
|
100% |
4292
5.52 IPS |
|
|
Style Transfer (Q)
|
98% |
11680
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1174
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3035
112.4 IPS |
|
|
Text Classification (SP)
|
100% |
1082
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
527
703.7 IPS |
|
|
Text Classification (Q)
|
97% |
386
517.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
560
9.65 IPS |
|
|
Machine Translation (Q)
|
65% |
1869
37.6 IPS |