| User | dmitrychou |
| Upload Date | October 05 2025 08:33 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-2500 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Compaq 8200 Elite SFF PC |
| Motherboard | Hewlett-Packard 1495 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
565
105.1 IPS |
|
|
Image Classification (HP)
|
100% |
185
34.4 IPS |
|
|
Image Classification (Q)
|
96% |
526
98.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
309
5.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
251
4.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
617
10.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1186
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
947
1.11 IPS |
|
|
Pose Estimation (Q)
|
86% |
994
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
529
41.9 IPS |
|
|
Object Detection (HP)
|
100% |
224
17.8 IPS |
|
|
Object Detection (Q)
|
58% |
381
41.6 IPS |
|
|
Face Detection (SP)
|
100% |
868
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
459
5.46 IPS |
|
|
Face Detection (Q)
|
96% |
906
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1450
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
672
5.18 IPS |
|
|
Depth Estimation (Q)
|
78% |
1065
8.48 IPS |
|
|
Style Transfer (SP)
|
100% |
2792
3.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2401
3.09 IPS |
|
|
Style Transfer (Q)
|
87% |
1789
2.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
562
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
502
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
629
23.3 IPS |
|
|
Text Classification (SP)
|
100% |
537
717.2 IPS |
|
|
Text Classification (HP)
|
100% |
272
362.6 IPS |
|
|
Text Classification (Q)
|
97% |
429
574.3 IPS |
|
|
Machine Translation (SP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.47 IPS |
|
|
Machine Translation (Q)
|
68% |
628
12.1 IPS |