| User | rodrigo_rl |
| Upload Date | March 05 2026 04:51 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G614JU_G614JU |
| Motherboard | ASUSTeK COMPUTER INC. G614JU |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
852
158.4 IPS |
|
|
Image Classification (HP)
|
100% |
1419
263.9 IPS |
|
|
Image Classification (Q)
|
99% |
2292
427.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1222
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2051
33.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2328
37.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2109
2.46 IPS |
|
|
Pose Estimation (HP)
|
99% |
1556
1.82 IPS |
|
|
Pose Estimation (Q)
|
97% |
6370
7.46 IPS |
|
|
Object Detection (SP)
|
100% |
766
60.7 IPS |
|
|
Object Detection (HP)
|
99% |
1231
97.9 IPS |
|
|
Object Detection (Q)
|
90% |
2256
180.4 IPS |
|
|
Face Detection (SP)
|
100% |
2721
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
4235
50.3 IPS |
|
|
Face Detection (Q)
|
100% |
5553
66.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2568
19.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
4517
34.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
6112
47.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6064
7.80 IPS |
|
|
Style Transfer (HP)
|
100% |
8285
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
14889
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1675
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3391
125.6 IPS |
|
|
Text Classification (SP)
|
71% |
581
840.2 IPS |
|
|
Text Classification (HP)
|
71% |
591
855.1 IPS |
|
|
Text Classification (Q)
|
92% |
531
713.8 IPS |
|
|
Machine Translation (SP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1429
24.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1169
20.2 IPS |