| User | shaneGH |
| Upload Date | June 27 2025 07:57 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1128
209.8 IPS |
|
|
Image Classification (HP)
|
100% |
2207
410.4 IPS |
|
|
Image Classification (Q)
|
100% |
3072
571.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1992
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1255
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3593
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
11520
13.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
25102
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
100% |
1793
142.2 IPS |
|
|
Object Detection (Q)
|
89% |
3286
263.2 IPS |
|
|
Face Detection (SP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
5086
60.4 IPS |
|
|
Face Detection (Q)
|
100% |
9889
117.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3864
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6514
50.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
12412
96.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10621
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19259
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
34019
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1878
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4449
164.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7413
274.5 IPS |
|
|
Text Classification (SP)
|
100% |
1384
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
463
618.4 IPS |
|
|
Text Classification (Q)
|
92% |
459
617.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1676
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1292
22.3 IPS |