| User | AndRusha |
| Upload Date | April 04 2025 06:48 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
608
113.1 IPS |
|
|
Image Classification (HP)
|
100% |
592
110.0 IPS |
|
|
Image Classification (Q)
|
100% |
573
106.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
984
16.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6613
7.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
10825
12.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5886
6.90 IPS |
|
|
Object Detection (SP)
|
100% |
666
52.8 IPS |
|
|
Object Detection (HP)
|
100% |
628
49.8 IPS |
|
|
Object Detection (Q)
|
89% |
611
48.9 IPS |
|
|
Face Detection (SP)
|
100% |
1771
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
1825
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
1510
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3580
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4230
32.6 IPS |
|
|
Depth Estimation (Q)
|
73% |
3058
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11167
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16495
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
9872
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2827
104.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3760
138.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2109
78.1 IPS |
|
|
Text Classification (SP)
|
100% |
742
990.2 IPS |
|
|
Text Classification (HP)
|
100% |
917
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
517
692.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (Q)
|
60% |
507
11.3 IPS |