User | fenom |
Upload Date | October 08 2025 03:24 PM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA Quadro P400 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Hewlett-Packard HP Compaq Elite 8300 CMT |
Motherboard | Hewlett-Packard 3396 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i7-3770 |
Topology | 1 Processor, 4 Cores, 8 Threads |
Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
Base Frequency | 3.40 GHz |
Cluster 1 | 4 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
212
39.4 IPS |
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
Image Classification (Q)
|
100% |
200
37.2 IPS |
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
Image Segmentation (HP)
|
100% |
558
9.04 IPS |
|
Image Segmentation (Q)
|
98% |
529
8.60 IPS |
|
Pose Estimation (SP)
|
100% |
4911
5.73 IPS |
|
Pose Estimation (HP)
|
100% |
3012
3.51 IPS |
|
Pose Estimation (Q)
|
96% |
4138
4.85 IPS |
|
Object Detection (SP)
|
100% |
298
23.6 IPS |
|
Object Detection (HP)
|
100% |
518
41.1 IPS |
|
Object Detection (Q)
|
83% |
271
21.9 IPS |
|
Face Detection (SP)
|
100% |
578
6.86 IPS |
|
Face Detection (HP)
|
100% |
892
10.6 IPS |
|
Face Detection (Q)
|
97% |
517
6.17 IPS |
|
Depth Estimation (SP)
|
100% |
1977
15.2 IPS |
|
Depth Estimation (HP)
|
99% |
1838
14.2 IPS |
|
Depth Estimation (Q)
|
77% |
1616
13.0 IPS |
|
Style Transfer (SP)
|
100% |
8776
11.3 IPS |
|
Style Transfer (HP)
|
100% |
5492
7.06 IPS |
|
Style Transfer (Q)
|
98% |
7056
9.10 IPS |
|
Image Super-Resolution (SP)
|
100% |
1973
72.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
1508
55.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
1292
47.9 IPS |
|
Text Classification (SP)
|
100% |
622
830.6 IPS |
|
Text Classification (HP)
|
100% |
588
784.2 IPS |
|
Text Classification (Q)
|
97% |
328
439.7 IPS |
|
Machine Translation (SP)
|
100% |
1064
18.3 IPS |
|
Machine Translation (HP)
|
96% |
1029
17.8 IPS |
|
Machine Translation (Q)
|
70% |
447
8.39 IPS |