| Upload Date | November 20 2025 08:10 AM |
| 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 H |
| Motherboard | Gigabyte Technology Co., Ltd. B650M H |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8186
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
14671
2.73 KIPS |
|
|
Image Classification (Q)
|
99% |
7323
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13126
212.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19051
308.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12225
198.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
101681
118.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
313412
365.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
83738
98.1 IPS |
|
|
Object Detection (SP)
|
100% |
10643
844.2 IPS |
|
|
Object Detection (HP)
|
100% |
17219
1.37 KIPS |
|
|
Object Detection (Q)
|
83% |
9266
748.6 IPS |
|
|
Face Detection (SP)
|
100% |
25238
299.9 IPS |
|
|
Face Detection (HP)
|
100% |
40924
486.3 IPS |
|
|
Face Detection (Q)
|
97% |
22410
267.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
48940
377.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
102570
790.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
40103
320.6 IPS |
|
|
Style Transfer (SP)
|
100% |
154139
198.1 IPS |
|
|
Style Transfer (HP)
|
100% |
523186
672.6 IPS |
|
|
Style Transfer (Q)
|
98% |
129785
167.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28519
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54047
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22290
825.4 IPS |
|
|
Text Classification (SP)
|
100% |
3284
4.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2169
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4186
72.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4517
77.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1843
34.6 IPS |