| User | Ricochet |
| Upload Date | October 31 2025 08:48 PM |
| Views | 15 |
| 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% |
2051
381.5 IPS |
|
|
Image Classification (HP)
|
100% |
6636
1.23 KIPS |
|
|
Image Classification (Q)
|
100% |
9207
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3202
51.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2735
44.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3490
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4580
5.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
33794
39.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
71870
84.2 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
100% |
5688
451.2 IPS |
|
|
Object Detection (Q)
|
88% |
9017
722.9 IPS |
|
|
Face Detection (SP)
|
100% |
4702
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
16431
195.2 IPS |
|
|
Face Detection (Q)
|
100% |
32681
388.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4683
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17423
134.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
32432
252.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12955
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
51886
66.7 IPS |
|
|
Style Transfer (Q)
|
98% |
93379
120.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2514
92.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15443
570.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28616
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1831
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
1679
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2877
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4398
75.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4432
76.3 IPS |