| User | sumeragi |
| Upload Date | December 11 2025 03:08 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | Balanced |
| 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% |
15725
2.92 KIPS |
|
|
Image Classification (HP)
|
100% |
19728
3.67 KIPS |
|
|
Image Classification (Q)
|
100% |
13607
2.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26669
432.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
31648
513.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
25041
407.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
383142
447.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
877987
1.02 KIPS |
|
|
Pose Estimation (Q)
|
96% |
315573
369.6 IPS |
|
|
Object Detection (SP)
|
100% |
20258
1.61 KIPS |
|
|
Object Detection (HP)
|
100% |
25197
2.00 KIPS |
|
|
Object Detection (Q)
|
85% |
17275
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
59111
702.4 IPS |
|
|
Face Detection (HP)
|
100% |
73628
874.9 IPS |
|
|
Face Detection (Q)
|
97% |
49022
584.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
102245
787.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
174683
1.35 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74500
596.7 IPS |
|
|
Style Transfer (SP)
|
100% |
573718
737.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1441060
1.85 KIPS |
|
|
Style Transfer (Q)
|
98% |
484102
624.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67495
2.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84071
3.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49429
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
4072
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4797
6.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2481
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5787
99.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5687
98.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2756
51.7 IPS |