| User | Laptop_Testers |
| Upload Date | October 14 2025 04:09 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | LENOVO 81WD |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1005G1 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.19 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
322
59.8 IPS |
|
|
Image Classification (HP)
|
100% |
353
65.6 IPS |
|
|
Image Classification (Q)
|
100% |
301
56.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
383
6.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
311
5.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
2470
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3600
4.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
1844
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (HP)
|
98% |
366
29.1 IPS |
|
|
Object Detection (Q)
|
86% |
327
26.3 IPS |
|
|
Face Detection (SP)
|
100% |
568
6.74 IPS |
|
|
Face Detection (HP)
|
100% |
769
9.14 IPS |
|
|
Face Detection (Q)
|
97% |
460
5.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
1366
10.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
1742
13.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
1102
8.85 IPS |
|
|
Style Transfer (SP)
|
100% |
5615
7.22 IPS |
|
|
Style Transfer (HP)
|
100% |
8284
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
4038
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
841
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1478
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
521
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
304
405.8 IPS |
|
|
Text Classification (HP)
|
100% |
191
255.4 IPS |
|
|
Text Classification (Q)
|
97% |
188
252.0 IPS |
|
|
Machine Translation (SP)
|
100% |
389
6.71 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.32 IPS |
|
|
Machine Translation (Q)
|
70% |
210
3.94 IPS |