| User | tester_one |
| Upload Date | August 12 2025 09:26 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Advantech Default string |
| Motherboard | Advantech AIMB-788E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1504
279.6 IPS |
|
|
Image Classification (HP)
|
100% |
487
90.5 IPS |
|
|
Image Classification (Q)
|
99% |
4973
927.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1598
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5163
84.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3811
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3248
3.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
14510
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1727
137.0 IPS |
|
|
Object Detection (HP)
|
100% |
652
51.7 IPS |
|
|
Object Detection (Q)
|
86% |
5586
448.9 IPS |
|
|
Face Detection (SP)
|
100% |
5612
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
1590
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
7260
86.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5664
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1943
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
10940
87.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8330
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7456
9.58 IPS |
|
|
Style Transfer (Q)
|
98% |
16578
21.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2571
94.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1496
55.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5835
216.1 IPS |
|
|
Text Classification (SP)
|
100% |
1370
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1545
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1785
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3272
65.8 IPS |