User | tester_one |
Upload Date | July 20 2025 04:33 AM |
Views | 3 |
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 | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
697
129.7 IPS |
|
Image Classification (HP)
|
100% |
712
132.4 IPS |
|
Image Classification (Q)
|
100% |
598
111.2 IPS |
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
Image Segmentation (HP)
|
100% |
1068
17.3 IPS |
|
Image Segmentation (Q)
|
98% |
727
11.8 IPS |
|
Pose Estimation (SP)
|
100% |
4900
5.72 IPS |
|
Pose Estimation (HP)
|
100% |
5357
6.25 IPS |
|
Pose Estimation (Q)
|
96% |
3275
3.84 IPS |
|
Object Detection (SP)
|
100% |
765
60.7 IPS |
|
Object Detection (HP)
|
98% |
645
51.3 IPS |
|
Object Detection (Q)
|
86% |
640
51.4 IPS |
|
Face Detection (SP)
|
100% |
1538
18.3 IPS |
|
Face Detection (HP)
|
100% |
1669
19.8 IPS |
|
Face Detection (Q)
|
97% |
1137
13.6 IPS |
|
Depth Estimation (SP)
|
100% |
2894
22.3 IPS |
|
Depth Estimation (HP)
|
98% |
3186
24.6 IPS |
|
Depth Estimation (Q)
|
77% |
2126
17.0 IPS |
|
Style Transfer (SP)
|
100% |
10054
12.9 IPS |
|
Style Transfer (HP)
|
100% |
13552
17.4 IPS |
|
Style Transfer (Q)
|
98% |
7412
9.56 IPS |
|
Image Super-Resolution (SP)
|
100% |
1722
63.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
2380
87.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
874
32.4 IPS |
|
Text Classification (SP)
|
100% |
795
1.06 KIPS |
|
Text Classification (HP)
|
100% |
452
603.8 IPS |
|
Text Classification (Q)
|
97% |
391
524.2 IPS |
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
Machine Translation (HP)
|
100% |
646
11.1 IPS |
|
Machine Translation (Q)
|
70% |
355
6.65 IPS |