| User | SimonSu63 |
| Upload Date | December 11 2025 03:02 PM |
| Views | 5 |
| 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% |
9880
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
17717
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
9100
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18813
305.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
29472
477.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17338
281.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
127263
148.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
418952
488.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
118320
138.6 IPS |
|
|
Object Detection (SP)
|
100% |
12710
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
23278
1.85 KIPS |
|
|
Object Detection (Q)
|
83% |
10785
871.4 IPS |
|
|
Face Detection (SP)
|
100% |
33451
397.5 IPS |
|
|
Face Detection (HP)
|
100% |
57444
682.6 IPS |
|
|
Face Detection (Q)
|
97% |
28844
343.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
56922
438.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
120630
929.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
45928
366.6 IPS |
|
|
Style Transfer (SP)
|
100% |
180008
231.4 IPS |
|
|
Style Transfer (HP)
|
100% |
631816
812.2 IPS |
|
|
Style Transfer (Q)
|
98% |
155805
200.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34743
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67694
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26434
978.8 IPS |
|
|
Text Classification (SP)
|
100% |
3499
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4188
5.59 KIPS |
|
|
Text Classification (Q)
|
97% |
2247
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5957
102.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6514
112.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2185
41.0 IPS |