| User | oiskin |
| Upload Date | October 09 2025 01:21 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1222
227.2 IPS |
|
|
Image Classification (HP)
|
100% |
884
164.4 IPS |
|
|
Image Classification (Q)
|
100% |
3568
663.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1484
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4005
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1745
2.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1257
1.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
7895
9.25 IPS |
|
|
Object Detection (SP)
|
100% |
1245
98.8 IPS |
|
|
Object Detection (HP)
|
100% |
909
72.1 IPS |
|
|
Object Detection (Q)
|
88% |
3569
286.1 IPS |
|
|
Face Detection (SP)
|
100% |
4024
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
3084
36.7 IPS |
|
|
Face Detection (Q)
|
100% |
9555
113.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3021
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2083
16.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
9988
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6121
7.87 IPS |
|
|
Style Transfer (HP)
|
100% |
4051
5.21 IPS |
|
|
Style Transfer (Q)
|
98% |
24979
32.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1434
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5308
196.6 IPS |
|
|
Text Classification (SP)
|
100% |
1501
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1129
1.51 KIPS |
|
|
Text Classification (Q)
|
92% |
3491
4.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2330
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1928
33.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2312
39.8 IPS |