| User | kamisama |
| Upload Date | October 30 2025 12:10 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16085
2.99 KIPS |
|
|
Image Classification (HP)
|
100% |
18868
3.51 KIPS |
|
|
Image Classification (Q)
|
99% |
15468
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18766
304.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22097
358.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
24291
395.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
204766
238.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
625101
729.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
190458
223.1 IPS |
|
|
Object Detection (SP)
|
100% |
17680
1.40 KIPS |
|
|
Object Detection (HP)
|
99% |
21697
1.72 KIPS |
|
|
Object Detection (Q)
|
87% |
16600
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
53615
637.1 IPS |
|
|
Face Detection (HP)
|
100% |
65142
774.0 IPS |
|
|
Face Detection (Q)
|
97% |
47432
565.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
86374
665.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
129929
1.00 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71197
570.6 IPS |
|
|
Style Transfer (SP)
|
100% |
393743
506.2 IPS |
|
|
Style Transfer (HP)
|
100% |
705417
906.8 IPS |
|
|
Style Transfer (Q)
|
98% |
356581
459.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52386
1.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87120
3.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44219
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
4978
6.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4618
6.16 KIPS |
|
|
Text Classification (Q)
|
97% |
3365
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
7191
123.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7291
125.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3907
73.3 IPS |