| User | whatexcusenow |
| Upload Date | December 13 2025 11:58 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. A520I AC |
| Motherboard | Gigabyte Technology Co., Ltd. A520I AC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11018
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
13794
2.57 KIPS |
|
|
Image Classification (Q)
|
100% |
10842
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10664
172.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12771
207.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13921
226.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
131676
153.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
423218
493.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
117133
137.2 IPS |
|
|
Object Detection (SP)
|
100% |
10001
793.3 IPS |
|
|
Object Detection (HP)
|
99% |
14579
1.16 KIPS |
|
|
Object Detection (Q)
|
87% |
9367
752.3 IPS |
|
|
Face Detection (SP)
|
100% |
28484
338.5 IPS |
|
|
Face Detection (HP)
|
100% |
38412
456.4 IPS |
|
|
Face Detection (Q)
|
97% |
25309
301.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
66281
510.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
92955
716.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
55480
444.9 IPS |
|
|
Style Transfer (SP)
|
100% |
241599
310.6 IPS |
|
|
Style Transfer (HP)
|
100% |
461502
593.3 IPS |
|
|
Style Transfer (Q)
|
98% |
207018
266.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37001
1.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65816
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31048
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3779
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4413
5.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2823
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4992
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5298
91.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3026
56.8 IPS |