| User | Ricochet |
| Upload Date | October 31 2025 03:53 PM |
| Views | 18 |
| 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 Core Ultra 7 255H |
| Topology | 1 Processor, 12 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1814
337.4 IPS |
|
|
Image Classification (HP)
|
100% |
6672
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
9291
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3069
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2796
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3498
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4918
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
34354
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
72549
85.0 IPS |
|
|
Object Detection (SP)
|
100% |
1933
153.3 IPS |
|
|
Object Detection (HP)
|
100% |
5870
465.6 IPS |
|
|
Object Detection (Q)
|
88% |
9925
795.7 IPS |
|
|
Face Detection (SP)
|
100% |
6962
82.7 IPS |
|
|
Face Detection (HP)
|
100% |
16693
198.4 IPS |
|
|
Face Detection (Q)
|
100% |
31791
377.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5659
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17807
137.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
33448
260.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14252
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
52533
67.5 IPS |
|
|
Style Transfer (Q)
|
98% |
93823
121.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2767
102.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15860
585.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29853
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2839
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1786
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1789
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3074
52.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4440
76.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4503
77.6 IPS |