| Upload Date | November 21 2025 02:51 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8284
1.54 KIPS |
|
|
Image Classification (HP)
|
100% |
14874
2.77 KIPS |
|
|
Image Classification (Q)
|
99% |
7368
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11702
189.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16030
259.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10875
176.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
101428
118.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
314106
366.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
84837
99.4 IPS |
|
|
Object Detection (SP)
|
100% |
10697
848.5 IPS |
|
|
Object Detection (HP)
|
100% |
17346
1.38 KIPS |
|
|
Object Detection (Q)
|
83% |
9301
751.4 IPS |
|
|
Face Detection (SP)
|
100% |
24419
290.2 IPS |
|
|
Face Detection (HP)
|
100% |
39143
465.1 IPS |
|
|
Face Detection (Q)
|
97% |
21385
255.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
49010
377.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104368
804.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
39823
318.4 IPS |
|
|
Style Transfer (SP)
|
100% |
154066
198.1 IPS |
|
|
Style Transfer (HP)
|
100% |
530258
681.7 IPS |
|
|
Style Transfer (Q)
|
98% |
128774
166.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28768
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54916
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22504
833.3 IPS |
|
|
Text Classification (SP)
|
100% |
3347
4.47 KIPS |
|
|
Text Classification (HP)
|
100% |
4045
5.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2167
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3684
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3980
68.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1721
32.3 IPS |