| Upload Date | December 17 2025 07:48 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming F15 FX506HF_FX506HF |
| Motherboard | ASUSTeK COMPUTER INC. FX506HF |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
787
146.3 IPS |
|
|
Image Classification (HP)
|
100% |
1325
246.4 IPS |
|
|
Image Classification (Q)
|
99% |
2099
391.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1105
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2078
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1924
2.25 IPS |
|
|
Pose Estimation (HP)
|
99% |
1429
1.67 IPS |
|
|
Pose Estimation (Q)
|
97% |
5817
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
714
56.7 IPS |
|
|
Object Detection (HP)
|
99% |
1208
96.1 IPS |
|
|
Object Detection (Q)
|
90% |
2240
179.1 IPS |
|
|
Face Detection (SP)
|
100% |
2169
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
3762
44.7 IPS |
|
|
Face Detection (Q)
|
100% |
5369
63.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2370
18.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4187
32.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
5715
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5372
6.91 IPS |
|
|
Style Transfer (HP)
|
100% |
8950
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
13837
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
923
34.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3151
116.7 IPS |
|
|
Text Classification (SP)
|
71% |
760
1.10 KIPS |
|
|
Text Classification (HP)
|
71% |
938
1.36 KIPS |
|
|
Text Classification (Q)
|
92% |
996
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (HP)
|
98% |
1330
23.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1337
23.1 IPS |