| User | tester_one |
| Upload Date | July 07 2025 05:45 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% |
2011
373.9 IPS |
|
|
Image Classification (HP)
|
99% |
4252
793.0 IPS |
|
|
Image Classification (Q)
|
99% |
1737
324.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3053
49.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5386
87.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2599
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15647
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
57882
67.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
13785
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2341
185.7 IPS |
|
|
Object Detection (HP)
|
100% |
5253
416.6 IPS |
|
|
Object Detection (Q)
|
83% |
2029
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
5008
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
8045
95.6 IPS |
|
|
Face Detection (Q)
|
97% |
4270
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10171
78.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22890
176.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
8043
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27124
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
76221
98.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23136
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6559
242.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11880
438.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4448
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
1759
2.35 KIPS |
|
|
Text Classification (HP)
|
99% |
2206
2.94 KIPS |
|
|
Text Classification (Q)
|
97% |
862
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2393
41.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2475
42.8 IPS |
|
|
Machine Translation (Q)
|
70% |
923
17.3 IPS |