| User | SimonSu63 |
| Upload Date | December 11 2025 07:25 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% |
9930
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
17848
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
9151
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19037
308.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
30025
486.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17284
281.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
127497
148.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
420382
490.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
119303
139.7 IPS |
|
|
Object Detection (SP)
|
100% |
12773
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
23421
1.86 KIPS |
|
|
Object Detection (Q)
|
83% |
10896
880.3 IPS |
|
|
Face Detection (SP)
|
100% |
33553
398.7 IPS |
|
|
Face Detection (HP)
|
100% |
57350
681.4 IPS |
|
|
Face Detection (Q)
|
97% |
28934
345.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
57178
440.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
121386
935.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
45924
366.6 IPS |
|
|
Style Transfer (SP)
|
100% |
179718
231.0 IPS |
|
|
Style Transfer (HP)
|
100% |
633365
814.2 IPS |
|
|
Style Transfer (Q)
|
98% |
157262
202.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34800
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67471
2.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26190
969.8 IPS |
|
|
Text Classification (SP)
|
100% |
3471
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4202
5.61 KIPS |
|
|
Text Classification (Q)
|
97% |
2265
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
6035
104.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6586
113.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2174
40.8 IPS |