| Upload Date | October 25 2025 06:10 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21QA0005US |
| Motherboard | LENOVO 21QA0005US |
| 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% |
1904
354.0 IPS |
|
|
Image Classification (HP)
|
100% |
15014
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
21467
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19893
322.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
34045
551.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3325
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
112578
131.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
252168
295.4 IPS |
|
|
Object Detection (SP)
|
100% |
1039
82.4 IPS |
|
|
Object Detection (HP)
|
100% |
18284
1.45 KIPS |
|
|
Object Detection (Q)
|
88% |
27788
2.23 KIPS |
|
|
Face Detection (SP)
|
100% |
4266
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
41354
491.4 IPS |
|
|
Face Detection (Q)
|
100% |
92916
1.10 KIPS |
|
|
Depth Estimation (SP)
|
100% |
3980
30.7 IPS |
|
|
Depth Estimation (HP)
|
92% |
81878
635.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
155993
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
7056
9.07 IPS |
|
|
Style Transfer (HP)
|
100% |
242883
312.2 IPS |
|
|
Style Transfer (Q)
|
98% |
427300
551.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1973
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42966
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
73449
2.72 KIPS |
|
|
Text Classification (SP)
|
100% |
1575
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3095
4.13 KIPS |
|
|
Text Classification (Q)
|
92% |
3438
4.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3160
54.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8365
144.1 IPS |
|
|
Machine Translation (Q)
|
100% |
8807
151.7 IPS |