| Upload Date | December 27 2025 06:18 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | LENOVO 21NS0013US |
| Motherboard | LENOVO 21NS0013US |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1533
285.1 IPS |
|
|
Image Classification (HP)
|
100% |
10582
1.97 KIPS |
|
|
Image Classification (Q)
|
100% |
16152
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1686
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19052
308.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30862
500.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2652
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
110467
128.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
230274
269.7 IPS |
|
|
Object Detection (SP)
|
100% |
1459
115.8 IPS |
|
|
Object Detection (HP)
|
100% |
14771
1.17 KIPS |
|
|
Object Detection (Q)
|
88% |
20596
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
1835
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
34539
410.4 IPS |
|
|
Face Detection (Q)
|
100% |
52918
628.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1987
15.3 IPS |
|
|
Depth Estimation (HP)
|
92% |
74901
581.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
143721
1.12 KIPS |
|
|
Style Transfer (SP)
|
100% |
7128
9.16 IPS |
|
|
Style Transfer (HP)
|
100% |
230972
296.9 IPS |
|
|
Style Transfer (Q)
|
98% |
361173
465.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1309
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34114
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54080
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
670
894.9 IPS |
|
|
Text Classification (HP)
|
100% |
1689
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
2194
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2081
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6493
111.9 IPS |
|
|
Machine Translation (Q)
|
100% |
7573
130.4 IPS |