| User | tester_one |
| Upload Date | July 07 2025 05:50 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A400 |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
99% |
4325
806.7 IPS |
|
|
Image Classification (Q)
|
99% |
1779
331.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3110
50.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5378
87.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2540
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15664
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
58150
67.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
13787
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2359
187.1 IPS |
|
|
Object Detection (HP)
|
100% |
5183
411.2 IPS |
|
|
Object Detection (Q)
|
83% |
2072
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
5067
60.2 IPS |
|
|
Face Detection (HP)
|
100% |
8185
97.3 IPS |
|
|
Face Detection (Q)
|
97% |
4330
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10134
78.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22958
176.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
8060
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27004
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
77485
99.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22999
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6526
241.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12070
445.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4478
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
1761
2.35 KIPS |
|
|
Text Classification (HP)
|
99% |
2204
2.94 KIPS |
|
|
Text Classification (Q)
|
97% |
868
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2399
41.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2467
42.6 IPS |
|
|
Machine Translation (Q)
|
70% |
937
17.6 IPS |