| User | bryansam |
| Upload Date | June 19 2025 01:19 PM |
| Views | 8 |
| 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. NUC15CRHU5 |
| Motherboard | ASUSTeK COMPUTER INC. NUC15CRBU5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2996
557.2 IPS |
|
|
Image Classification (HP)
|
100% |
6758
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
9270
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3512
56.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2779
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3885
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6544
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
32938
38.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
72668
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.0 IPS |
|
|
Object Detection (HP)
|
100% |
5979
474.3 IPS |
|
|
Object Detection (Q)
|
87% |
9817
787.9 IPS |
|
|
Face Detection (SP)
|
100% |
7579
90.1 IPS |
|
|
Face Detection (HP)
|
100% |
16196
192.4 IPS |
|
|
Face Detection (Q)
|
100% |
27307
324.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6996
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17999
138.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
33499
260.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18432
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
49144
63.2 IPS |
|
|
Style Transfer (Q)
|
98% |
93799
121.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3401
125.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14169
523.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25219
933.9 IPS |
|
|
Text Classification (SP)
|
100% |
3114
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1925
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
1854
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3780
65.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3964
68.3 IPS |