| Upload Date | January 23 2026 07:17 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E |
| 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% |
4157
773.0 IPS |
|
|
Image Classification (HP)
|
99% |
8515
1.59 KIPS |
|
|
Image Classification (Q)
|
99% |
3415
636.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
5765
93.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9349
151.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4761
77.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37405
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
129032
150.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
31729
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
4760
377.5 IPS |
|
|
Object Detection (HP)
|
100% |
10277
815.2 IPS |
|
|
Object Detection (Q)
|
84% |
3878
312.8 IPS |
|
|
Face Detection (SP)
|
100% |
9887
117.5 IPS |
|
|
Face Detection (HP)
|
100% |
17501
207.9 IPS |
|
|
Face Detection (Q)
|
97% |
8109
96.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22314
171.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
49184
378.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
16509
132.3 IPS |
|
|
Style Transfer (SP)
|
100% |
64923
83.5 IPS |
|
|
Style Transfer (HP)
|
100% |
188589
242.4 IPS |
|
|
Style Transfer (Q)
|
98% |
54464
70.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13888
512.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28124
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
8706
322.4 IPS |
|
|
Text Classification (SP)
|
100% |
2476
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
3094
4.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1293
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2787
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2901
50.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1234
23.1 IPS |