| User | mmbawareth |
| Upload Date | October 18 2025 09:39 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1355U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1504VA_X1504VA |
| Motherboard | ASUSTeK COMPUTER INC. X1504VA |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1355U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1490
277.2 IPS |
|
|
Image Classification (HP)
|
100% |
345
64.1 IPS |
|
|
Image Classification (Q)
|
99% |
3368
628.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (Q)
|
98% |
4411
71.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3078
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1988
2.32 IPS |
|
|
Pose Estimation (Q)
|
94% |
9340
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (Q)
|
86% |
3281
263.7 IPS |
|
|
Face Detection (SP)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
820
9.74 IPS |
|
|
Face Detection (Q)
|
97% |
5298
63.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3771
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1078
8.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
7532
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6811
8.76 IPS |
|
|
Style Transfer (HP)
|
100% |
4125
5.30 IPS |
|
|
Style Transfer (Q)
|
98% |
10424
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1288
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
936
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2990
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
994
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
463
617.9 IPS |
|
|
Text Classification (Q)
|
97% |
1284
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (Q)
|
65% |
1863
37.4 IPS |