| User | rynoels4 |
| Upload Date | August 18 2024 08:54 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 570 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B07 |
| Motherboard | Micro-Star International Co., Ltd A320M PRO-VH PLUS (MS-7B07) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3200G |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2374
441.5 IPS |
|
|
Image Classification (HP)
|
100% |
2660
494.8 IPS |
|
|
Image Classification (Q)
|
100% |
1865
346.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2703
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2340
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
38751
45.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
39640
46.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
32394
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
2561
203.2 IPS |
|
|
Object Detection (HP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (Q)
|
89% |
2171
173.9 IPS |
|
|
Face Detection (SP)
|
100% |
6733
80.0 IPS |
|
|
Face Detection (HP)
|
100% |
7940
94.3 IPS |
|
|
Face Detection (Q)
|
97% |
5068
60.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15595
120.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17047
131.3 IPS |
|
|
Depth Estimation (Q)
|
72% |
10936
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
66066
84.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67880
87.3 IPS |
|
|
Style Transfer (Q)
|
98% |
52024
67.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8854
326.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9514
351.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5876
217.6 IPS |
|
|
Text Classification (SP)
|
100% |
1029
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
618
827.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1227
21.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1217
21.0 IPS |
|
|
Machine Translation (Q)
|
60% |
478
10.8 IPS |