| User | somata |
| Upload Date | December 17 2025 03:37 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130T GPU (8GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUSTeK COMPUTER INC. NUC15CRKU5 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRBU5 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6339
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
9911
1.84 KIPS |
|
|
Image Classification (Q)
|
100% |
13729
2.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7079
114.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18239
295.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
21658
351.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
21327
24.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
84328
98.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
162274
190.0 IPS |
|
|
Object Detection (SP)
|
100% |
6156
488.3 IPS |
|
|
Object Detection (HP)
|
100% |
12020
953.4 IPS |
|
|
Object Detection (Q)
|
88% |
14811
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
9898
117.6 IPS |
|
|
Face Detection (HP)
|
100% |
21590
256.5 IPS |
|
|
Face Detection (Q)
|
100% |
32631
387.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19597
151.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
38660
297.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
50542
392.9 IPS |
|
|
Style Transfer (SP)
|
100% |
51181
65.8 IPS |
|
|
Style Transfer (HP)
|
100% |
135089
173.7 IPS |
|
|
Style Transfer (Q)
|
98% |
209947
270.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8847
326.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25924
957.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31528
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2616
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
3657
4.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2547
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2695
46.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5725
98.6 IPS |
|
|
Machine Translation (Q)
|
100% |
5811
100.1 IPS |