| User | SimonSu63 |
| Upload Date | December 11 2025 07:32 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS PRO |
| Power Plan | Razer Cortex Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9934
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
17790
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9137
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18938
307.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
29993
486.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
17409
283.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
127486
148.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
418710
488.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
119051
139.5 IPS |
|
|
Object Detection (SP)
|
100% |
12798
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
23333
1.85 KIPS |
|
|
Object Detection (Q)
|
83% |
10918
882.2 IPS |
|
|
Face Detection (SP)
|
100% |
33334
396.1 IPS |
|
|
Face Detection (HP)
|
100% |
57407
682.1 IPS |
|
|
Face Detection (Q)
|
97% |
29075
346.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
57064
439.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
121288
934.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
45820
365.7 IPS |
|
|
Style Transfer (SP)
|
100% |
179868
231.2 IPS |
|
|
Style Transfer (HP)
|
100% |
632886
813.6 IPS |
|
|
Style Transfer (Q)
|
98% |
156420
201.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34652
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67748
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26529
982.3 IPS |
|
|
Text Classification (SP)
|
100% |
3485
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
4176
5.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2247
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5774
99.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6543
112.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2127
39.9 IPS |