| User | SlippingStaff |
| Upload Date | September 05 2025 01:57 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
5989
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
8167
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1997
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3365
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3358
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
29684
34.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
63925
74.9 IPS |
|
|
Object Detection (SP)
|
100% |
1269
100.7 IPS |
|
|
Object Detection (HP)
|
100% |
5414
429.4 IPS |
|
|
Object Detection (Q)
|
87% |
8759
703.0 IPS |
|
|
Face Detection (SP)
|
100% |
4151
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
15027
178.6 IPS |
|
|
Face Detection (Q)
|
100% |
24948
296.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4185
32.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16448
126.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
31045
241.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9930
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
46297
59.5 IPS |
|
|
Style Transfer (Q)
|
98% |
85201
109.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1836
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12462
460.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20535
760.5 IPS |
|
|
Text Classification (SP)
|
100% |
1730
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
1705
2.28 KIPS |
|
|
Text Classification (Q)
|
92% |
1715
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1943
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3610
62.2 IPS |