| Upload Date | November 13 2025 08:46 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1405VA_X1405VA |
| Motherboard | ASUSTeK COMPUTER INC. X1405VA |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2202
409.4 IPS |
|
|
Image Classification (HP)
|
100% |
3826
711.6 IPS |
|
|
Image Classification (Q)
|
99% |
5377
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3284
53.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5316
86.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6242
101.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7334
8.56 IPS |
|
|
Pose Estimation (HP)
|
99% |
5291
6.17 IPS |
|
|
Pose Estimation (Q)
|
97% |
23514
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
2099
166.5 IPS |
|
|
Object Detection (HP)
|
100% |
3228
256.0 IPS |
|
|
Object Detection (Q)
|
90% |
6052
483.8 IPS |
|
|
Face Detection (SP)
|
100% |
4968
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
9134
108.5 IPS |
|
|
Face Detection (Q)
|
100% |
14586
173.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7618
58.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12091
93.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
16608
129.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19064
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27581
35.5 IPS |
|
|
Style Transfer (Q)
|
98% |
53690
69.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3169
117.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5046
186.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10498
388.8 IPS |
|
|
Text Classification (SP)
|
71% |
1289
1.86 KIPS |
|
|
Text Classification (HP)
|
71% |
1497
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
1470
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1188
20.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2282
39.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2367
40.9 IPS |