| User | SimonSu63 |
| Upload Date | December 11 2025 07:39 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% |
9651
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
16892
3.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8923
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18994
307.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
29633
480.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14137
229.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
127740
149.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
419023
488.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
118988
139.4 IPS |
|
|
Object Detection (SP)
|
100% |
12707
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
23287
1.85 KIPS |
|
|
Object Detection (Q)
|
83% |
10928
882.9 IPS |
|
|
Face Detection (SP)
|
100% |
33530
398.4 IPS |
|
|
Face Detection (HP)
|
100% |
57376
681.8 IPS |
|
|
Face Detection (Q)
|
97% |
28883
344.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
56990
439.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
121203
933.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
45483
363.0 IPS |
|
|
Style Transfer (SP)
|
100% |
179629
230.9 IPS |
|
|
Style Transfer (HP)
|
100% |
632155
812.6 IPS |
|
|
Style Transfer (Q)
|
98% |
155551
200.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34708
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67566
2.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26916
996.7 IPS |
|
|
Text Classification (SP)
|
100% |
3306
4.41 KIPS |
|
|
Text Classification (HP)
|
100% |
3895
5.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2166
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5605
96.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6348
109.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2147
40.3 IPS |