| User | Spiike |
| Upload Date | September 07 2025 06:23 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8064
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
9346
1.74 KIPS |
|
|
Image Classification (Q)
|
100% |
7776
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7774
126.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9366
151.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10453
170.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
125860
146.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
351062
409.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
111378
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
7720
612.3 IPS |
|
|
Object Detection (HP)
|
99% |
8564
679.3 IPS |
|
|
Object Detection (Q)
|
87% |
6792
545.5 IPS |
|
|
Face Detection (SP)
|
100% |
19861
236.0 IPS |
|
|
Face Detection (HP)
|
100% |
23916
284.2 IPS |
|
|
Face Detection (Q)
|
97% |
18211
217.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
58478
450.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
77379
596.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
49425
396.4 IPS |
|
|
Style Transfer (SP)
|
100% |
219777
282.5 IPS |
|
|
Style Transfer (HP)
|
100% |
380268
488.8 IPS |
|
|
Style Transfer (Q)
|
98% |
188034
242.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29066
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43089
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27589
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2422
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3348
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3497
60.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2341
43.9 IPS |