| User | Halsted |
| Upload Date | December 12 2025 10:42 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17055
3.17 KIPS |
|
|
Image Classification (HP)
|
100% |
22831
4.25 KIPS |
|
|
Image Classification (Q)
|
100% |
15227
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38962
631.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
50206
813.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
36051
586.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
409007
477.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
949712
1.11 KIPS |
|
|
Pose Estimation (Q)
|
96% |
330215
386.8 IPS |
|
|
Object Detection (SP)
|
100% |
21330
1.69 KIPS |
|
|
Object Detection (HP)
|
100% |
29184
2.31 KIPS |
|
|
Object Detection (Q)
|
85% |
19812
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
74314
883.0 IPS |
|
|
Face Detection (HP)
|
100% |
97760
1.16 KIPS |
|
|
Face Detection (Q)
|
97% |
59652
711.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
107541
828.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
191721
1.48 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77389
619.8 IPS |
|
|
Style Transfer (SP)
|
100% |
609123
783.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1711699
2.20 KIPS |
|
|
Style Transfer (Q)
|
98% |
507418
654.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
72085
2.66 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
98084
3.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53931
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3822
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4470
5.97 KIPS |
|
|
Text Classification (Q)
|
97% |
2379
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
7316
126.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7428
128.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3166
59.4 IPS |