| User | anhnb258 |
| Upload Date | November 14 2025 03:47 AM |
| Views | 5 |
| 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 TUF Gaming F15 FX506HF_FX506HF |
| Motherboard | ASUSTeK COMPUTER INC. FX506HF |
| Power Plan | Balanced |
| 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% |
759
141.2 IPS |
|
|
Image Classification (HP)
|
100% |
1282
238.5 IPS |
|
|
Image Classification (Q)
|
99% |
2065
385.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1856
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2066
33.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1873
2.19 IPS |
|
|
Pose Estimation (HP)
|
99% |
1422
1.66 IPS |
|
|
Pose Estimation (Q)
|
97% |
5807
6.80 IPS |
|
|
Object Detection (SP)
|
100% |
709
56.3 IPS |
|
|
Object Detection (HP)
|
99% |
1201
95.5 IPS |
|
|
Object Detection (Q)
|
90% |
2060
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
2098
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
3720
44.2 IPS |
|
|
Face Detection (Q)
|
100% |
5340
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2377
18.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
4171
32.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
5699
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5303
6.82 IPS |
|
|
Style Transfer (HP)
|
100% |
9083
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
13566
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
909
33.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1566
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3033
112.3 IPS |
|
|
Text Classification (SP)
|
71% |
734
1.06 KIPS |
|
|
Text Classification (HP)
|
71% |
903
1.31 KIPS |
|
|
Text Classification (Q)
|
92% |
918
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (HP)
|
98% |
1260
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1290
22.3 IPS |