| User | Laptop_Testers |
| Upload Date | October 14 2025 03:56 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1005G1 |
| 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% |
625
116.2 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (Q)
|
99% |
1654
308.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (Q)
|
98% |
1209
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1376
1.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1109
1.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
4818
5.65 IPS |
|
|
Object Detection (SP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (HP)
|
100% |
280
22.2 IPS |
|
|
Object Detection (Q)
|
86% |
1706
137.1 IPS |
|
|
Face Detection (SP)
|
100% |
1118
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
562
6.68 IPS |
|
|
Face Detection (Q)
|
97% |
2879
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1717
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
815
6.28 IPS |
|
|
Depth Estimation (Q)
|
78% |
3977
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3232
4.15 IPS |
|
|
Style Transfer (HP)
|
100% |
2548
3.28 IPS |
|
|
Style Transfer (Q)
|
98% |
5233
6.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
685
25.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
558
20.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1590
58.9 IPS |
|
|
Text Classification (SP)
|
100% |
711
949.4 IPS |
|
|
Text Classification (HP)
|
100% |
444
592.9 IPS |
|
|
Text Classification (Q)
|
97% |
972
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
65% |
1062
21.3 IPS |