| User | oiskin |
| Upload Date | October 09 2025 01:31 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21NS0010MZ |
| Motherboard | LENOVO 21NS0010MZ |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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% |
1177
218.9 IPS |
|
|
Image Classification (HP)
|
100% |
12148
2.26 KIPS |
|
|
Image Classification (Q)
|
100% |
16899
3.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19094
309.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31582
512.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1655
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
108133
126.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
219411
257.0 IPS |
|
|
Object Detection (SP)
|
100% |
1148
91.0 IPS |
|
|
Object Detection (HP)
|
100% |
15822
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
22778
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3881
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
36417
432.7 IPS |
|
|
Face Detection (Q)
|
100% |
72641
863.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2983
23.0 IPS |
|
|
Depth Estimation (HP)
|
93% |
70562
546.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
135010
1.05 KIPS |
|
|
Style Transfer (SP)
|
100% |
5041
6.48 IPS |
|
|
Style Transfer (HP)
|
100% |
209330
269.1 IPS |
|
|
Style Transfer (Q)
|
98% |
367966
474.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1104
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33803
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55988
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
1734
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2727
3.64 KIPS |
|
|
Text Classification (Q)
|
92% |
2706
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3999
68.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4029
69.4 IPS |