| Upload Date | November 13 2025 10:22 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M DS3H V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B450M DS3H V2 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 1600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2541
472.5 IPS |
|
|
Image Classification (HP)
|
100% |
2992
556.4 IPS |
|
|
Image Classification (Q)
|
100% |
2185
406.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3273
53.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3471
56.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2778
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
53036
61.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54356
63.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
39200
45.9 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.9 IPS |
|
|
Object Detection (HP)
|
100% |
2968
235.4 IPS |
|
|
Object Detection (Q)
|
88% |
2321
186.1 IPS |
|
|
Face Detection (SP)
|
100% |
7990
94.9 IPS |
|
|
Face Detection (HP)
|
100% |
9874
117.3 IPS |
|
|
Face Detection (Q)
|
97% |
6042
72.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15544
119.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17968
138.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
10857
87.0 IPS |
|
|
Style Transfer (SP)
|
100% |
72652
93.4 IPS |
|
|
Style Transfer (HP)
|
100% |
80000
102.8 IPS |
|
|
Style Transfer (Q)
|
98% |
55591
71.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10027
370.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11469
423.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6483
240.1 IPS |
|
|
Text Classification (SP)
|
100% |
1102
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
892
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
591
792.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1436
24.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1489
25.7 IPS |
|
|
Machine Translation (Q)
|
70% |
730
13.7 IPS |