| Upload Date | January 13 2026 04:09 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS EXPERTCENTER P500MV |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2388
444.1 IPS |
|
|
Image Classification (HP)
|
100% |
3847
715.5 IPS |
|
|
Image Classification (Q)
|
99% |
5342
996.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3514
57.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5668
91.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6859
111.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7417
8.65 IPS |
|
|
Pose Estimation (HP)
|
99% |
5475
6.39 IPS |
|
|
Pose Estimation (Q)
|
97% |
24017
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2169
172.0 IPS |
|
|
Object Detection (HP)
|
100% |
3381
268.2 IPS |
|
|
Object Detection (Q)
|
90% |
5910
472.6 IPS |
|
|
Face Detection (SP)
|
100% |
5996
71.2 IPS |
|
|
Face Detection (HP)
|
100% |
10014
119.0 IPS |
|
|
Face Detection (Q)
|
100% |
15632
185.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7996
61.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
12745
98.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
17352
134.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19672
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26166
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
54201
69.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3255
120.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5141
189.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10646
394.3 IPS |
|
|
Text Classification (SP)
|
71% |
1322
1.91 KIPS |
|
|
Text Classification (HP)
|
71% |
1755
2.54 KIPS |
|
|
Text Classification (Q)
|
92% |
1545
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1597
27.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2466
42.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2466
42.6 IPS |