| User | SlippingStaff |
| Upload Date | September 05 2025 01:23 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1788
332.6 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.8 IPS |
|
|
Image Classification (Q)
|
99% |
4458
831.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
688
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5455
88.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3525
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
1710
2.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
12615
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1684
133.6 IPS |
|
|
Object Detection (HP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (Q)
|
86% |
3737
300.3 IPS |
|
|
Face Detection (SP)
|
100% |
4688
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
6642
79.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4538
35.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1270
9.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
10515
83.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8018
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
4745
6.10 IPS |
|
|
Style Transfer (Q)
|
98% |
13773
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1125
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3459
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
1134
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
578
772.1 IPS |
|
|
Text Classification (Q)
|
97% |
1296
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
580
10.00 IPS |
|
|
Machine Translation (Q)
|
65% |
2095
42.1 IPS |