| Upload Date | November 12 2025 09:53 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13620H |
| 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% |
2665
495.6 IPS |
|
|
Image Classification (HP)
|
100% |
2744
510.3 IPS |
|
|
Image Classification (Q)
|
100% |
6129
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3210
52.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3154
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5538
89.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4927
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4601
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
17054
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2445
193.9 IPS |
|
|
Object Detection (HP)
|
100% |
2502
198.4 IPS |
|
|
Object Detection (Q)
|
88% |
6413
514.1 IPS |
|
|
Face Detection (SP)
|
100% |
3406
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3491
41.5 IPS |
|
|
Face Detection (Q)
|
100% |
8273
98.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4040
31.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4000
30.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
16102
125.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14294
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14289
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
50344
64.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3073
113.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3072
113.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10432
386.3 IPS |
|
|
Text Classification (SP)
|
100% |
2523
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2502
3.34 KIPS |
|
|
Text Classification (Q)
|
92% |
3779
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3857
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3833
66.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3791
65.3 IPS |