| Upload Date | November 07 2025 07:22 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21SK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2823
525.1 IPS |
|
|
Image Classification (HP)
|
100% |
7090
1.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9894
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3553
57.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2812
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3572
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6256
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
34406
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
76179
89.2 IPS |
|
|
Object Detection (SP)
|
100% |
2318
183.9 IPS |
|
|
Object Detection (HP)
|
100% |
6103
484.1 IPS |
|
|
Object Detection (Q)
|
88% |
10343
829.2 IPS |
|
|
Face Detection (SP)
|
100% |
7328
87.1 IPS |
|
|
Face Detection (HP)
|
100% |
17836
211.9 IPS |
|
|
Face Detection (Q)
|
100% |
33714
400.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6767
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18049
139.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
33438
260.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17753
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
52756
67.8 IPS |
|
|
Style Transfer (Q)
|
98% |
96508
124.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3156
116.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16208
598.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31986
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2094
2.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2154
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4467
76.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4530
78.0 IPS |