| User | SlippingStaff |
| Upload Date | September 05 2025 01:40 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 21LVS0XS00 |
| Motherboard | LENOVO 21LVS0XS00 |
| Power Plan | TELG |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 165U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
1372
255.1 IPS |
|
|
Image Classification (Q)
|
100% |
4298
799.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4274
69.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3307
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2480
2.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
11780
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (Q)
|
88% |
4220
338.3 IPS |
|
|
Face Detection (SP)
|
100% |
4095
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
4020
47.8 IPS |
|
|
Face Detection (Q)
|
100% |
9052
107.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4047
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3825
29.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
10269
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9172
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9397
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
34444
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1803
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1820
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6705
248.3 IPS |
|
|
Text Classification (SP)
|
100% |
1615
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
1624
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
3079
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1742
30.0 IPS |