| Upload Date | January 06 2026 02:07 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 ICE |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18852
3.51 KIPS |
|
|
Image Classification (HP)
|
100% |
23989
4.46 KIPS |
|
|
Image Classification (Q)
|
100% |
15701
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
41485
672.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
54011
875.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
38609
627.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
432012
504.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
1082520
1.26 KIPS |
|
|
Pose Estimation (Q)
|
96% |
346369
405.7 IPS |
|
|
Object Detection (SP)
|
100% |
27228
2.16 KIPS |
|
|
Object Detection (HP)
|
100% |
36085
2.86 KIPS |
|
|
Object Detection (Q)
|
85% |
21831
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
80171
952.6 IPS |
|
|
Face Detection (HP)
|
100% |
107407
1.28 KIPS |
|
|
Face Detection (Q)
|
97% |
62689
747.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
112811
869.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
199854
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
81903
656.0 IPS |
|
|
Style Transfer (SP)
|
100% |
652249
838.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1877939
2.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
543444
700.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77946
2.88 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
106785
3.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56682
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
4142
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4949
6.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2495
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
7811
134.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7977
137.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3385
63.5 IPS |