| User | x066it |
| Upload Date | January 22 2025 07:31 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 8 Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 IoT LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M DS3H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M DS3H-CF |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 2200G |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
728
135.5 IPS |
|
|
Image Classification (HP)
|
100% |
1030
191.6 IPS |
|
|
Image Classification (Q)
|
100% |
659
122.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
621
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7262
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
13249
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
5681
6.65 IPS |
|
|
Object Detection (SP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (HP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (Q)
|
88% |
707
56.7 IPS |
|
|
Face Detection (SP)
|
100% |
1466
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
2397
28.5 IPS |
|
|
Face Detection (Q)
|
97% |
1239
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4103
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6378
49.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3075
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12363
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
20773
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
9224
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2405
88.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3961
146.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1575
58.3 IPS |
|
|
Text Classification (SP)
|
100% |
623
831.0 IPS |
|
|
Text Classification (HP)
|
100% |
647
863.1 IPS |
|
|
Text Classification (Q)
|
97% |
417
558.3 IPS |
|
|
Machine Translation (SP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (Q)
|
70% |
398
7.47 IPS |