| Upload Date | July 01 2025 09:57 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRKU7 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRBU7 |
| Power Plan | Ausbalanciert |
| 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 | 48.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2188
406.9 IPS |
|
|
Image Classification (HP)
|
100% |
6414
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8592
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2819
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2580
41.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3469
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5676
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
33444
39.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
71932
84.3 IPS |
|
|
Object Detection (SP)
|
100% |
2020
160.2 IPS |
|
|
Object Detection (HP)
|
100% |
5603
444.4 IPS |
|
|
Object Detection (Q)
|
87% |
9198
738.2 IPS |
|
|
Face Detection (SP)
|
100% |
5845
69.5 IPS |
|
|
Face Detection (HP)
|
100% |
16324
194.0 IPS |
|
|
Face Detection (Q)
|
100% |
28507
338.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5989
46.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17412
134.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
31145
242.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15310
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48286
62.1 IPS |
|
|
Style Transfer (Q)
|
98% |
91859
118.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2622
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13456
496.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21409
792.8 IPS |
|
|
Text Classification (SP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1683
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
1682
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2381
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3829
65.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3484
60.0 IPS |