| User | debarkak |
| Upload Date | December 08 2025 11:21 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10210U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Dell Inc. Inspiron 5490 |
| Motherboard | Dell Inc. 09X5J8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10210U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 20.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
765
142.2 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.4 IPS |
|
|
Image Classification (Q)
|
96% |
1415
264.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
474
7.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
292
4.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
1098
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1680
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1391
1.62 IPS |
|
|
Pose Estimation (Q)
|
86% |
3273
3.87 IPS |
|
|
Object Detection (SP)
|
100% |
758
60.1 IPS |
|
|
Object Detection (HP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (Q)
|
58% |
933
101.9 IPS |
|
|
Face Detection (SP)
|
100% |
1677
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
521
6.19 IPS |
|
|
Face Detection (Q)
|
96% |
2541
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2180
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
741
5.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
3124
24.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4344
5.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3118
4.01 IPS |
|
|
Style Transfer (Q)
|
87% |
5455
7.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
822
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
646
23.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1437
53.3 IPS |
|
|
Text Classification (SP)
|
100% |
849
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
440
587.0 IPS |
|
|
Text Classification (Q)
|
97% |
290
388.0 IPS |
|
|
Machine Translation (SP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (Q)
|
68% |
1001
19.3 IPS |