| User | tester_one |
| Upload Date | July 07 2025 05:56 PM |
| Views | 12 |
| 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% |
2155
400.7 IPS |
|
|
Image Classification (HP)
|
99% |
4454
830.7 IPS |
|
|
Image Classification (Q)
|
99% |
1884
351.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3232
52.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5526
89.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2701
43.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15855
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59971
70.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13906
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2553
202.5 IPS |
|
|
Object Detection (HP)
|
100% |
5486
435.2 IPS |
|
|
Object Detection (Q)
|
83% |
2209
178.5 IPS |
|
|
Face Detection (SP)
|
100% |
5430
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
9178
109.1 IPS |
|
|
Face Detection (Q)
|
97% |
4602
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10295
79.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23090
177.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
8178
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27236
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
75765
97.4 IPS |
|
|
Style Transfer (Q)
|
98% |
23246
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6592
243.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12259
452.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4448
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
1757
2.35 KIPS |
|
|
Text Classification (HP)
|
99% |
2217
2.96 KIPS |
|
|
Text Classification (Q)
|
97% |
874
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2376
40.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2475
42.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1004
18.8 IPS |