| User | Abdullah11 |
| Upload Date | April 17 2026 06:06 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop TP3402VA_TP3402VA |
| Motherboard | ASUSTeK COMPUTER INC. TP3402VA |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
704
130.9 IPS |
|
|
Image Classification (HP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (Q)
|
99% |
1430
266.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
2220
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1799
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1156
1.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
5302
6.22 IPS |
|
|
Object Detection (SP)
|
100% |
811
64.3 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
86% |
1535
123.4 IPS |
|
|
Face Detection (SP)
|
100% |
1673
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
449
5.33 IPS |
|
|
Face Detection (Q)
|
97% |
2404
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2286
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
604
4.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
4005
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3980
5.12 IPS |
|
|
Style Transfer (HP)
|
100% |
2754
3.54 IPS |
|
|
Style Transfer (Q)
|
98% |
5197
6.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1247
46.2 IPS |
|
|
Text Classification (SP)
|
100% |
312
416.6 IPS |
|
|
Text Classification (HP)
|
100% |
174
232.9 IPS |
|
|
Text Classification (Q)
|
97% |
341
456.6 IPS |
|
|
Machine Translation (SP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (HP)
|
100% |
224
3.86 IPS |
|
|
Machine Translation (Q)
|
65% |
724
14.5 IPS |