| Upload Date | November 15 2025 03:14 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83DJ |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Driver Booster Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (Q)
|
99% |
1385
258.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
519
8.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
247
4.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
2508
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1434
1.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1034
1.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
6062
7.11 IPS |
|
|
Object Detection (SP)
|
100% |
620
49.1 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (Q)
|
86% |
1882
151.2 IPS |
|
|
Face Detection (SP)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
570
6.77 IPS |
|
|
Face Detection (Q)
|
97% |
3441
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2890
22.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
658
5.07 IPS |
|
|
Depth Estimation (Q)
|
78% |
5077
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3273
4.21 IPS |
|
|
Style Transfer (HP)
|
100% |
2645
3.40 IPS |
|
|
Style Transfer (Q)
|
98% |
7905
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1860
68.9 IPS |
|
|
Text Classification (SP)
|
100% |
491
655.0 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.6 IPS |
|
|
Text Classification (Q)
|
97% |
655
878.1 IPS |
|
|
Machine Translation (SP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
313
5.38 IPS |
|
|
Machine Translation (Q)
|
65% |
1181
23.7 IPS |