| User | drive5600x |
| Upload Date | September 16 2025 10:07 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-E WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14681
2.73 KIPS |
|
|
Image Classification (HP)
|
100% |
14152
2.63 KIPS |
|
|
Image Classification (Q)
|
99% |
11820
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24236
392.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19336
313.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
19506
317.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
219705
256.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
339114
395.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
184119
215.7 IPS |
|
|
Object Detection (SP)
|
100% |
16541
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
16655
1.32 KIPS |
|
|
Object Detection (Q)
|
87% |
13573
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
46464
552.1 IPS |
|
|
Face Detection (HP)
|
100% |
49624
589.6 IPS |
|
|
Face Detection (Q)
|
97% |
35767
426.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
81322
626.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
88180
679.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
60186
483.3 IPS |
|
|
Style Transfer (SP)
|
100% |
399837
514.0 IPS |
|
|
Style Transfer (HP)
|
100% |
543559
698.8 IPS |
|
|
Style Transfer (Q)
|
98% |
318512
410.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48726
1.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56171
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34654
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
4640
6.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4656
6.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2815
3.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
7728
133.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8052
138.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3754
70.4 IPS |