| User | zsamps |
| Upload Date | April 19 2025 11:36 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV0018US |
| Motherboard | LENOVO 21KV0018US |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1551
288.5 IPS |
|
|
Image Classification (HP)
|
100% |
6429
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
9018
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2523
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3448
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3744
4.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
30256
35.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
65761
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
100% |
5515
437.4 IPS |
|
|
Object Detection (Q)
|
87% |
9101
730.4 IPS |
|
|
Face Detection (SP)
|
100% |
4863
57.8 IPS |
|
|
Face Detection (HP)
|
100% |
14771
175.5 IPS |
|
|
Face Detection (Q)
|
100% |
25239
299.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4459
34.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17238
132.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
32400
252.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11426
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
46047
59.2 IPS |
|
|
Style Transfer (Q)
|
98% |
84475
108.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2114
78.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12880
475.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21701
803.7 IPS |
|
|
Text Classification (SP)
|
100% |
1767
2.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1942
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
1981
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2134
36.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3946
68.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4031
69.4 IPS |