| Upload Date | December 07 2025 05:24 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% |
12131
2.26 KIPS |
|
|
Image Classification (HP)
|
99% |
16659
3.11 KIPS |
|
|
Image Classification (Q)
|
100% |
10722
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24018
389.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
31007
502.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
21664
352.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
196153
228.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
489972
571.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
176067
206.3 IPS |
|
|
Object Detection (SP)
|
100% |
15867
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
23136
1.84 KIPS |
|
|
Object Detection (Q)
|
85% |
13299
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
47381
563.0 IPS |
|
|
Face Detection (HP)
|
100% |
64871
770.8 IPS |
|
|
Face Detection (Q)
|
97% |
40378
481.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
82254
633.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
137144
1.06 KIPS |
|
|
Depth Estimation (Q)
|
77% |
62227
497.5 IPS |
|
|
Style Transfer (SP)
|
100% |
350851
451.0 IPS |
|
|
Style Transfer (HP)
|
100% |
820058
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
310007
399.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50241
1.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62350
2.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36162
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3114
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3689
4.92 KIPS |
|
|
Text Classification (Q)
|
97% |
1961
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
6251
107.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6199
106.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2871
53.9 IPS |