| Upload Date | December 03 2025 01:17 AM |
| Views | 5 |
| 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. ASUS P500MV_V500MV |
| Motherboard | ASUSTeK COMPUTER INC. P500MV |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2445
454.7 IPS |
|
|
Image Classification (HP)
|
100% |
3916
728.3 IPS |
|
|
Image Classification (Q)
|
99% |
5385
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3692
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5975
96.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7144
115.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7491
8.74 IPS |
|
|
Pose Estimation (HP)
|
99% |
5415
6.32 IPS |
|
|
Pose Estimation (Q)
|
97% |
24013
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
3429
272.0 IPS |
|
|
Object Detection (Q)
|
90% |
5987
478.7 IPS |
|
|
Face Detection (SP)
|
100% |
6999
83.2 IPS |
|
|
Face Detection (HP)
|
100% |
10812
128.5 IPS |
|
|
Face Detection (Q)
|
100% |
16171
192.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8111
62.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12912
99.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
17983
139.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19571
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28314
36.4 IPS |
|
|
Style Transfer (Q)
|
98% |
54039
69.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3270
120.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5095
188.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10639
394.0 IPS |
|
|
Text Classification (SP)
|
71% |
1322
1.91 KIPS |
|
|
Text Classification (HP)
|
71% |
1555
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
1551
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2503
43.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2498
43.2 IPS |