| User | sipos |
| Upload Date | April 17 2025 05:31 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15799
2.94 KIPS |
|
|
Image Classification (HP)
|
100% |
17967
3.34 KIPS |
|
|
Image Classification (Q)
|
99% |
15035
2.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17326
280.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18074
293.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20416
332.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
215798
251.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
636792
743.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
194960
228.4 IPS |
|
|
Object Detection (SP)
|
100% |
14946
1.19 KIPS |
|
|
Object Detection (HP)
|
99% |
20720
1.64 KIPS |
|
|
Object Detection (Q)
|
87% |
16364
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
47015
558.6 IPS |
|
|
Face Detection (HP)
|
100% |
55056
654.2 IPS |
|
|
Face Detection (Q)
|
97% |
45033
536.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
87687
675.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
126418
974.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
73110
585.9 IPS |
|
|
Style Transfer (SP)
|
100% |
400113
514.4 IPS |
|
|
Style Transfer (HP)
|
100% |
706186
907.8 IPS |
|
|
Style Transfer (Q)
|
98% |
364281
469.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51480
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83352
3.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43720
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
4102
5.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4094
5.46 KIPS |
|
|
Text Classification (Q)
|
97% |
2884
3.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5855
100.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5853
100.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3674
68.9 IPS |