| User | tester_one |
| Upload Date | July 07 2025 04:51 PM |
| Views | 5 |
| 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% |
1786
332.1 IPS |
|
|
Image Classification (HP)
|
99% |
3184
593.8 IPS |
|
|
Image Classification (Q)
|
99% |
1563
291.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2217
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3109
50.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1959
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15437
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
54011
63.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13568
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2033
161.3 IPS |
|
|
Object Detection (HP)
|
100% |
3609
286.2 IPS |
|
|
Object Detection (Q)
|
83% |
1797
145.2 IPS |
|
|
Face Detection (SP)
|
100% |
4288
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
6229
74.0 IPS |
|
|
Face Detection (Q)
|
97% |
3680
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9751
75.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21005
161.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
7780
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26310
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
70757
91.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22512
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6239
230.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10447
385.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4285
158.7 IPS |
|
|
Text Classification (SP)
|
100% |
1726
2.30 KIPS |
|
|
Text Classification (HP)
|
99% |
2159
2.88 KIPS |
|
|
Text Classification (Q)
|
97% |
847
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1069
18.5 IPS |
|
|
Machine Translation (Q)
|
70% |
636
11.9 IPS |