| User | jruhe |
| Upload Date | September 29 2025 03:15 PM |
| Views | 9 |
| 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% |
1841
342.4 IPS |
|
|
Image Classification (HP)
|
100% |
16453
3.06 KIPS |
|
|
Image Classification (Q)
|
100% |
22695
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18566
301.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
29379
476.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3322
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
111405
130.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
236290
276.8 IPS |
|
|
Object Detection (SP)
|
100% |
1801
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
17096
1.36 KIPS |
|
|
Object Detection (Q)
|
88% |
26235
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
5499
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
37002
439.7 IPS |
|
|
Face Detection (Q)
|
100% |
85384
1.01 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4605
35.5 IPS |
|
|
Depth Estimation (HP)
|
92% |
84471
655.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
166791
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
9880
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
223925
287.9 IPS |
|
|
Style Transfer (Q)
|
98% |
349675
450.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2097
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39315
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78613
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2102
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (Q)
|
92% |
3401
4.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2885
49.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6483
111.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7275
125.3 IPS |