| User | Ricochet |
| Upload Date | October 25 2025 09:05 PM |
| Views | 14 |
| 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. NUC15CRHU7 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRBU7 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
6593
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
8625
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2292
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2683
43.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3492
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3907
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
30164
35.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
73281
85.8 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
100% |
5885
466.8 IPS |
|
|
Object Detection (Q)
|
88% |
9341
748.9 IPS |
|
|
Face Detection (SP)
|
100% |
5285
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
17318
205.8 IPS |
|
|
Face Detection (Q)
|
100% |
28844
342.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4354
33.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17630
135.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
33049
257.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10049
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
50677
65.1 IPS |
|
|
Style Transfer (Q)
|
98% |
92652
119.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15144
559.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29268
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
1288
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1949
2.60 KIPS |
|
|
Text Classification (Q)
|
92% |
1911
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2047
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4332
74.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4581
78.9 IPS |