| Upload Date | November 07 2025 02:46 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Thirdwave Corporation RL7C-R45-4 |
| Motherboard | CLEVO V5xxTNx |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1532
284.9 IPS |
|
|
Image Classification (HP)
|
100% |
5343
993.6 IPS |
|
|
Image Classification (Q)
|
100% |
7495
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2667
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3098
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5373
6.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
29098
34.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
61459
72.0 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.6 IPS |
|
|
Object Detection (HP)
|
100% |
4147
329.0 IPS |
|
|
Object Detection (Q)
|
89% |
7636
611.5 IPS |
|
|
Face Detection (SP)
|
100% |
4843
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
11450
136.1 IPS |
|
|
Face Detection (Q)
|
100% |
24150
287.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5067
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14135
108.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
27724
215.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13537
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
42520
54.7 IPS |
|
|
Style Transfer (Q)
|
98% |
77794
100.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2230
82.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11279
416.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18165
672.7 IPS |
|
|
Text Classification (SP)
|
100% |
1832
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1137
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1138
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1765
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2580
44.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2616
45.1 IPS |