| User | somata |
| Upload Date | December 17 2025 03:41 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRKU5 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRBU5 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3180
591.3 IPS |
|
|
Image Classification (HP)
|
100% |
7036
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9652
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3506
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2759
44.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3492
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6786
7.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
34486
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
74224
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
2332
184.9 IPS |
|
|
Object Detection (HP)
|
100% |
6090
483.1 IPS |
|
|
Object Detection (Q)
|
87% |
10008
803.2 IPS |
|
|
Face Detection (SP)
|
100% |
7093
84.3 IPS |
|
|
Face Detection (HP)
|
100% |
17227
204.7 IPS |
|
|
Face Detection (Q)
|
100% |
32671
388.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7124
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17743
136.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
32150
250.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18621
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
51735
66.5 IPS |
|
|
Style Transfer (Q)
|
98% |
90188
116.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14068
519.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23209
859.5 IPS |
|
|
Text Classification (SP)
|
100% |
3168
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1931
2.58 KIPS |
|
|
Text Classification (Q)
|
92% |
1894
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3097
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4332
74.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4394
75.7 IPS |