| Upload Date | November 12 2025 12:03 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B860-G GAMING WIFI |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225 |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3080
572.8 IPS |
|
|
Image Classification (HP)
|
100% |
7267
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10484
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3542
57.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2851
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3585
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5667
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
35186
41.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
76104
89.1 IPS |
|
|
Object Detection (SP)
|
100% |
2917
231.4 IPS |
|
|
Object Detection (HP)
|
100% |
6220
493.4 IPS |
|
|
Object Detection (Q)
|
87% |
10243
822.0 IPS |
|
|
Face Detection (SP)
|
100% |
8271
98.3 IPS |
|
|
Face Detection (HP)
|
100% |
17986
213.7 IPS |
|
|
Face Detection (Q)
|
100% |
33960
403.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7259
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18159
139.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
33770
262.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17366
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
51917
66.7 IPS |
|
|
Style Transfer (Q)
|
98% |
96187
124.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3494
129.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14340
529.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24069
891.4 IPS |
|
|
Text Classification (SP)
|
100% |
3072
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2171
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4384
75.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4414
76.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4461
76.8 IPS |