| User | somata |
| Upload Date | December 02 2025 03:22 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon (TM) RX 480 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | To be filled by O.E.M. To be filled by O.E.M. |
| Motherboard | ASUSTeK COMPUTER INC. M5A97 LE R2.0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD FX-4130 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 21 Model 1 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2115
393.3 IPS |
|
|
Image Classification (HP)
|
100% |
2404
447.1 IPS |
|
|
Image Classification (Q)
|
99% |
1699
317.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2706
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2873
46.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2340
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
49499
57.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
51673
60.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
38960
45.6 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.7 IPS |
|
|
Object Detection (HP)
|
100% |
2624
208.1 IPS |
|
|
Object Detection (Q)
|
92% |
2178
173.9 IPS |
|
|
Face Detection (SP)
|
100% |
5919
70.3 IPS |
|
|
Face Detection (HP)
|
100% |
6870
81.6 IPS |
|
|
Face Detection (Q)
|
97% |
4774
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16052
123.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16926
130.4 IPS |
|
|
Depth Estimation (Q)
|
72% |
10573
87.6 IPS |
|
|
Style Transfer (SP)
|
100% |
71900
92.4 IPS |
|
|
Style Transfer (HP)
|
100% |
71572
92.0 IPS |
|
|
Style Transfer (Q)
|
98% |
53669
69.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9851
363.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10543
389.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6080
225.1 IPS |
|
|
Text Classification (SP)
|
100% |
818
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
749
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
523
700.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1069
18.5 IPS |
|
|
Machine Translation (Q)
|
60% |
543
12.2 IPS |