| Upload Date | December 07 2025 05:26 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12097
2.25 KIPS |
|
|
Image Classification (HP)
|
99% |
16877
3.15 KIPS |
|
|
Image Classification (Q)
|
100% |
10537
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24015
389.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
32340
524.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
21610
351.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
196559
229.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
488027
569.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
176855
207.2 IPS |
|
|
Object Detection (SP)
|
100% |
15802
1.25 KIPS |
|
|
Object Detection (HP)
|
100% |
23199
1.84 KIPS |
|
|
Object Detection (Q)
|
85% |
13315
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
47304
562.1 IPS |
|
|
Face Detection (HP)
|
100% |
64674
768.5 IPS |
|
|
Face Detection (Q)
|
97% |
40307
480.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
82139
632.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
139524
1.08 KIPS |
|
|
Depth Estimation (Q)
|
77% |
62282
497.9 IPS |
|
|
Style Transfer (SP)
|
100% |
352973
453.8 IPS |
|
|
Style Transfer (HP)
|
100% |
823975
1.06 KIPS |
|
|
Style Transfer (Q)
|
98% |
311160
401.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49797
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61937
2.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36096
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3120
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3706
4.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1966
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
6236
107.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6235
107.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2852
53.5 IPS |