| User | jmactx |
| Upload Date | July 25 2025 05:23 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 21KV0017US |
| Motherboard | LENOVO 21KV0017US |
| Power Plan | Balanced |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1601
297.7 IPS |
|
|
Image Classification (HP)
|
100% |
1639
304.8 IPS |
|
|
Image Classification (Q)
|
100% |
4805
893.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2755
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2787
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5271
85.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4980
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3759
4.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
13868
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (Q)
|
88% |
4452
356.9 IPS |
|
|
Face Detection (SP)
|
100% |
4860
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
4973
59.1 IPS |
|
|
Face Detection (Q)
|
100% |
9803
116.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4450
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4445
34.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11657
90.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11529
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11088
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
49201
63.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2173
80.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2152
79.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7216
267.2 IPS |
|
|
Text Classification (SP)
|
100% |
1952
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1901
2.54 KIPS |
|
|
Text Classification (Q)
|
92% |
3469
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1968
33.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2087
35.9 IPS |