| Upload Date | November 15 2025 03:53 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
2158
401.4 IPS |
|
|
Image Classification (HP)
|
100% |
3238
602.2 IPS |
|
|
Image Classification (Q)
|
100% |
1839
342.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3034
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5334
86.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2503
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10523
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12998
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8444
9.90 IPS |
|
|
Object Detection (SP)
|
100% |
2340
185.6 IPS |
|
|
Object Detection (HP)
|
99% |
4669
371.4 IPS |
|
|
Object Detection (Q)
|
86% |
1937
155.7 IPS |
|
|
Face Detection (SP)
|
100% |
4399
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
7683
91.3 IPS |
|
|
Face Detection (Q)
|
97% |
3352
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6327
48.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
14702
113.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
6896
55.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38001
48.9 IPS |
|
|
Style Transfer (HP)
|
100% |
55286
71.1 IPS |
|
|
Style Transfer (Q)
|
98% |
29081
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6108
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8923
329.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3658
135.5 IPS |
|
|
Text Classification (SP)
|
86% |
738
998.5 IPS |
|
|
Text Classification (HP)
|
99% |
708
944.8 IPS |
|
|
Text Classification (Q)
|
84% |
581
788.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1931
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2043
35.2 IPS |
|
|
Machine Translation (Q)
|
70% |
772
14.5 IPS |