| User | masterr |
| Upload Date | October 07 2025 06:11 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRHU7 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRBU7 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3637
676.4 IPS |
|
|
Image Classification (HP)
|
100% |
6895
1.28 KIPS |
|
|
Image Classification (Q)
|
100% |
9576
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3910
63.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2823
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3859
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7356
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
33889
39.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
73553
86.2 IPS |
|
|
Object Detection (SP)
|
100% |
2898
229.9 IPS |
|
|
Object Detection (HP)
|
100% |
5974
473.8 IPS |
|
|
Object Detection (Q)
|
87% |
9947
798.3 IPS |
|
|
Face Detection (SP)
|
100% |
8713
103.5 IPS |
|
|
Face Detection (HP)
|
100% |
15189
180.5 IPS |
|
|
Face Detection (Q)
|
100% |
30282
359.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7404
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17445
134.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
32555
253.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19628
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48557
62.4 IPS |
|
|
Style Transfer (Q)
|
98% |
90118
116.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3874
143.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13980
516.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23198
859.1 IPS |
|
|
Text Classification (SP)
|
100% |
3308
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2015
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
2023
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3338
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4224
72.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4295
74.0 IPS |