| Upload Date | December 12 2025 10:46 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 590 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF B450M-PLUS GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.95 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3229
600.5 IPS |
|
|
Image Classification (HP)
|
100% |
3866
718.9 IPS |
|
|
Image Classification (Q)
|
100% |
2696
501.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4167
67.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4580
74.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3465
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
52654
61.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
57846
67.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
44079
51.6 IPS |
|
|
Object Detection (SP)
|
100% |
3644
289.0 IPS |
|
|
Object Detection (HP)
|
100% |
3892
308.7 IPS |
|
|
Object Detection (Q)
|
88% |
3046
244.2 IPS |
|
|
Face Detection (SP)
|
100% |
9494
112.8 IPS |
|
|
Face Detection (HP)
|
100% |
12703
150.9 IPS |
|
|
Face Detection (Q)
|
97% |
7738
92.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19863
153.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22382
172.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
14352
115.0 IPS |
|
|
Style Transfer (SP)
|
100% |
84979
109.2 IPS |
|
|
Style Transfer (HP)
|
100% |
90286
116.1 IPS |
|
|
Style Transfer (Q)
|
98% |
67389
86.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12932
477.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14156
522.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8167
302.4 IPS |
|
|
Text Classification (SP)
|
100% |
1260
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
745
997.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2192
37.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2105
36.4 IPS |
|
|
Machine Translation (Q)
|
70% |
999
18.7 IPS |