| Upload Date | October 19 2025 12:07 PM |
| Views | 6 |
| 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% |
8181
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
14802
2.75 KIPS |
|
|
Image Classification (Q)
|
99% |
7308
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11381
184.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14928
242.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
10571
171.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
100368
117.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
295203
344.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
83263
97.5 IPS |
|
|
Object Detection (SP)
|
100% |
10470
830.5 IPS |
|
|
Object Detection (HP)
|
100% |
16812
1.33 KIPS |
|
|
Object Detection (Q)
|
83% |
8924
721.0 IPS |
|
|
Face Detection (SP)
|
100% |
23247
276.2 IPS |
|
|
Face Detection (HP)
|
100% |
38188
453.8 IPS |
|
|
Face Detection (Q)
|
97% |
21037
250.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
47422
365.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99343
765.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
39314
314.3 IPS |
|
|
Style Transfer (SP)
|
100% |
149845
192.6 IPS |
|
|
Style Transfer (HP)
|
100% |
512504
658.8 IPS |
|
|
Style Transfer (Q)
|
98% |
126759
163.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28116
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53968
1.99 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21819
807.9 IPS |
|
|
Text Classification (SP)
|
100% |
3290
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
3939
5.26 KIPS |
|
|
Text Classification (Q)
|
97% |
2108
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3866
66.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1660
31.1 IPS |