| User | jruhe |
| Upload Date | October 04 2025 07:52 AM |
| Views | 7 |
| 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. NUC14LNK |
| Motherboard | ASUSTeK COMPUTER INC. NUC14LNK |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1888
351.1 IPS |
|
|
Image Classification (HP)
|
100% |
16252
3.02 KIPS |
|
|
Image Classification (Q)
|
100% |
21296
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18925
306.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
28738
465.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3426
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
109064
127.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
247429
289.8 IPS |
|
|
Object Detection (SP)
|
100% |
1847
146.5 IPS |
|
|
Object Detection (HP)
|
100% |
16684
1.32 KIPS |
|
|
Object Detection (Q)
|
88% |
26142
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
5612
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
34247
406.9 IPS |
|
|
Face Detection (Q)
|
100% |
72874
865.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4740
36.5 IPS |
|
|
Depth Estimation (HP)
|
92% |
81738
634.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
156070
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
10166
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
213945
275.0 IPS |
|
|
Style Transfer (Q)
|
98% |
343914
443.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2135
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28537
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
62802
2.33 KIPS |
|
|
Text Classification (SP)
|
100% |
2181
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (Q)
|
92% |
3502
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3321
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6351
109.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7592
130.8 IPS |