| User | tester_one |
| Upload Date | July 07 2025 04:46 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| 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% |
717
133.2 IPS |
|
|
Image Classification (HP)
|
100% |
733
136.3 IPS |
|
|
Image Classification (Q)
|
100% |
617
114.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1070
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
727
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4896
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
5355
6.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
3274
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
770
61.1 IPS |
|
|
Object Detection (HP)
|
98% |
640
50.9 IPS |
|
|
Object Detection (Q)
|
86% |
641
51.5 IPS |
|
|
Face Detection (SP)
|
100% |
1540
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1659
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1139
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2889
22.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3184
24.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2134
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10076
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13570
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
7445
9.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1715
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2348
86.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
873
32.3 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
449
599.5 IPS |
|
|
Text Classification (Q)
|
97% |
392
525.3 IPS |
|
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
70% |
357
6.70 IPS |