| User | poyrazkilic |
| Upload Date | October 01 2024 06:06 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro N (64-bit) |
| Model | HP HP Desktop Pro A MT |
| Motherboard | HP 8434 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4579
851.6 IPS |
|
|
Image Classification (HP)
|
99% |
8199
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
3501
651.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7159
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10984
178.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6161
100.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
47772
55.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
148296
173.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
40796
47.8 IPS |
|
|
Object Detection (SP)
|
100% |
5547
440.0 IPS |
|
|
Object Detection (HP)
|
100% |
10462
829.8 IPS |
|
|
Object Detection (Q)
|
89% |
4068
325.6 IPS |
|
|
Face Detection (SP)
|
100% |
11650
138.4 IPS |
|
|
Face Detection (HP)
|
100% |
17988
213.7 IPS |
|
|
Face Detection (Q)
|
97% |
9148
109.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
25980
200.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
54181
418.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
18342
147.8 IPS |
|
|
Style Transfer (SP)
|
100% |
79317
102.0 IPS |
|
|
Style Transfer (HP)
|
100% |
237295
305.0 IPS |
|
|
Style Transfer (Q)
|
98% |
68722
88.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16588
612.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28838
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10838
401.3 IPS |
|
|
Text Classification (SP)
|
100% |
2154
2.88 KIPS |
|
|
Text Classification (HP)
|
99% |
2689
3.59 KIPS |
|
|
Text Classification (Q)
|
97% |
1174
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2641
45.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2706
46.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1012
22.6 IPS |