| Upload Date | December 07 2025 05:28 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% |
11999
2.23 KIPS |
|
|
Image Classification (HP)
|
99% |
16490
3.08 KIPS |
|
|
Image Classification (Q)
|
100% |
10460
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24157
391.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
32308
523.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
21813
354.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
196275
229.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
488372
569.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
177425
207.9 IPS |
|
|
Object Detection (SP)
|
100% |
15820
1.25 KIPS |
|
|
Object Detection (HP)
|
100% |
23242
1.84 KIPS |
|
|
Object Detection (Q)
|
85% |
13348
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
47398
563.2 IPS |
|
|
Face Detection (HP)
|
100% |
64260
763.5 IPS |
|
|
Face Detection (Q)
|
97% |
40343
481.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
82096
632.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
137754
1.06 KIPS |
|
|
Depth Estimation (Q)
|
77% |
62220
497.4 IPS |
|
|
Style Transfer (SP)
|
100% |
351512
451.9 IPS |
|
|
Style Transfer (HP)
|
100% |
819099
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
311356
401.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49832
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61494
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35876
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
3120
4.16 KIPS |
|
|
Text Classification (HP)
|
99% |
3775
5.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1964
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
6309
108.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6247
107.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2868
53.8 IPS |