| Upload Date | October 06 2025 05:57 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670E-PRO WIFI |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8838
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
8486
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
7523
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15543
252.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11510
186.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12420
202.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
103939
121.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
180600
210.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
89405
104.8 IPS |
|
|
Object Detection (SP)
|
100% |
9773
775.2 IPS |
|
|
Object Detection (HP)
|
100% |
8561
679.1 IPS |
|
|
Object Detection (Q)
|
87% |
8306
667.1 IPS |
|
|
Face Detection (SP)
|
100% |
28100
333.9 IPS |
|
|
Face Detection (HP)
|
100% |
32346
384.3 IPS |
|
|
Face Detection (Q)
|
97% |
22241
265.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
47082
362.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
58435
450.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
35649
286.3 IPS |
|
|
Style Transfer (SP)
|
100% |
193844
249.2 IPS |
|
|
Style Transfer (HP)
|
100% |
252275
324.3 IPS |
|
|
Style Transfer (Q)
|
98% |
156825
202.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33636
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39165
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23312
863.2 IPS |
|
|
Text Classification (SP)
|
100% |
2404
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1780
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5487
94.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5751
99.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2954
55.4 IPS |