| User | ks5z |
| Upload Date | March 19 2026 12:58 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870I AORUS PRO ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870I AORUS PRO ICE |
| Power Plan | Balanced |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14966
2.78 KIPS |
|
|
Image Classification (HP)
|
100% |
21922
4.08 KIPS |
|
|
Image Classification (Q)
|
100% |
13093
2.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31109
504.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
46214
749.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
28443
462.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
241824
282.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
770501
899.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
207106
242.6 IPS |
|
|
Object Detection (SP)
|
100% |
20826
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
32558
2.58 KIPS |
|
|
Object Detection (Q)
|
86% |
17109
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
60339
717.0 IPS |
|
|
Face Detection (HP)
|
100% |
88920
1.06 KIPS |
|
|
Face Detection (Q)
|
97% |
49489
590.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
93674
721.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
168791
1.30 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68895
550.2 IPS |
|
|
Style Transfer (SP)
|
100% |
354294
455.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1172046
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
307694
396.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54422
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87063
3.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43472
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3796
5.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4728
6.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2356
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
7732
133.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7783
134.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3189
59.8 IPS |