| User | SerpentXSF |
| Upload Date | March 18 2025 11:15 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11712
2.18 KIPS |
|
|
Image Classification (HP)
|
100% |
12465
2.32 KIPS |
|
|
Image Classification (Q)
|
99% |
10955
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10844
175.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12552
203.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15139
246.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
222783
260.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
568380
663.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
203476
238.3 IPS |
|
|
Object Detection (SP)
|
100% |
12316
976.9 IPS |
|
|
Object Detection (HP)
|
99% |
14995
1.19 KIPS |
|
|
Object Detection (Q)
|
87% |
11148
895.3 IPS |
|
|
Face Detection (SP)
|
100% |
34672
412.0 IPS |
|
|
Face Detection (HP)
|
100% |
40356
479.5 IPS |
|
|
Face Detection (Q)
|
97% |
31389
374.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
90328
695.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
118801
915.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
71701
574.6 IPS |
|
|
Style Transfer (SP)
|
100% |
418403
537.9 IPS |
|
|
Style Transfer (HP)
|
100% |
709988
912.7 IPS |
|
|
Style Transfer (Q)
|
98% |
365141
470.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50534
1.87 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59740
2.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43627
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3356
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
3563
4.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2640
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4439
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4474
77.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2493
46.8 IPS |