| User | tester_one |
| Upload Date | August 14 2025 06:55 PM |
| Views | 11 |
| 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 i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1961
364.7 IPS |
|
|
Image Classification (HP)
|
99% |
4249
792.5 IPS |
|
|
Image Classification (Q)
|
99% |
1707
318.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3044
49.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5345
86.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2541
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15561
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
58254
68.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13677
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.9 IPS |
|
|
Object Detection (HP)
|
100% |
4901
388.7 IPS |
|
|
Object Detection (Q)
|
83% |
2028
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
4974
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
7794
92.6 IPS |
|
|
Face Detection (Q)
|
97% |
4213
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10121
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22662
174.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
7936
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26642
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
74844
96.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22806
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6400
236.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11454
422.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4414
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
1764
2.35 KIPS |
|
|
Text Classification (HP)
|
99% |
2367
3.16 KIPS |
|
|
Text Classification (Q)
|
97% |
819
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2318
40.1 IPS |
|
|
Machine Translation (Q)
|
70% |
887
16.6 IPS |