| User | Matei_Tran15 |
| Upload Date | February 25 2025 03:56 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 5700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 I AORUS PRO WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. X570 I AORUS PRO WIFI |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800XT |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6382
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
6968
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
5514
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6948
112.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7131
115.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6169
100.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
84138
98.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
126500
147.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
71881
84.2 IPS |
|
|
Object Detection (SP)
|
100% |
6354
504.0 IPS |
|
|
Object Detection (HP)
|
100% |
6323
501.5 IPS |
|
|
Object Detection (Q)
|
88% |
5658
453.6 IPS |
|
|
Face Detection (SP)
|
100% |
17756
211.0 IPS |
|
|
Face Detection (HP)
|
100% |
18640
221.5 IPS |
|
|
Face Detection (Q)
|
97% |
15061
179.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
36210
279.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41856
323.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
29216
233.6 IPS |
|
|
Style Transfer (SP)
|
100% |
140829
181.0 IPS |
|
|
Style Transfer (HP)
|
100% |
208033
267.4 IPS |
|
|
Style Transfer (Q)
|
98% |
117561
151.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24431
902.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31261
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18101
670.2 IPS |
|
|
Text Classification (SP)
|
100% |
1868
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1342
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1930
36.2 IPS |