| User | tester_one |
| Upload Date | August 14 2025 07:13 PM |
| Views | 10 |
| 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% |
1908
354.9 IPS |
|
|
Image Classification (HP)
|
99% |
4174
778.6 IPS |
|
|
Image Classification (Q)
|
99% |
1706
318.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2988
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5132
83.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2545
41.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15521
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
57232
66.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13641
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2291
181.7 IPS |
|
|
Object Detection (HP)
|
100% |
4890
387.9 IPS |
|
|
Object Detection (Q)
|
83% |
2012
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
4901
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
7831
93.0 IPS |
|
|
Face Detection (Q)
|
97% |
4215
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10029
77.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22436
172.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
7948
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26428
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
76822
98.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22682
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6402
236.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11363
419.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4387
162.4 IPS |
|
|
Text Classification (SP)
|
100% |
1753
2.34 KIPS |
|
|
Text Classification (HP)
|
99% |
2344
3.13 KIPS |
|
|
Text Classification (Q)
|
97% |
834
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2141
36.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2376
41.1 IPS |
|
|
Machine Translation (Q)
|
70% |
874
16.4 IPS |