| User | tester_one |
| Upload Date | July 20 2025 05:26 PM |
| Views | 9 |
| 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% |
2339
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.0 IPS |
|
|
Image Classification (Q)
|
99% |
4144
772.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3872
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2900
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3427
4.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
15781
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
86% |
3719
298.9 IPS |
|
|
Face Detection (SP)
|
100% |
4140
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
1496
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
6628
79.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3987
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1954
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11079
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11369
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10200
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15337
19.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2162
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5543
205.2 IPS |
|
|
Text Classification (SP)
|
100% |
1289
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
735
981.7 IPS |
|
|
Text Classification (Q)
|
97% |
527
706.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1813
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2922
58.7 IPS |