| User | masterr |
| Upload Date | September 30 2025 07:15 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRHU7 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRBU7 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3599
669.4 IPS |
|
|
Image Classification (HP)
|
100% |
6912
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9603
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3964
64.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3888
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7434
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
34183
39.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
73558
86.2 IPS |
|
|
Object Detection (SP)
|
100% |
2947
233.8 IPS |
|
|
Object Detection (HP)
|
100% |
6007
476.5 IPS |
|
|
Object Detection (Q)
|
87% |
9734
781.2 IPS |
|
|
Face Detection (SP)
|
100% |
8803
104.6 IPS |
|
|
Face Detection (HP)
|
100% |
15572
185.0 IPS |
|
|
Face Detection (Q)
|
100% |
31737
377.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7433
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17392
134.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
32022
249.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20018
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49812
64.0 IPS |
|
|
Style Transfer (Q)
|
98% |
92235
118.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3968
146.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14127
521.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23557
872.4 IPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2034
2.71 KIPS |
|
|
Text Classification (Q)
|
92% |
1997
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3295
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4164
71.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4230
72.9 IPS |