| Upload Date | November 14 2025 10:37 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) RX Vega 11 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF B450M-PLUS GAMING |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3400G |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1274
237.0 IPS |
|
|
Image Classification (HP)
|
100% |
1848
343.7 IPS |
|
|
Image Classification (Q)
|
100% |
1141
212.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1302
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
14570
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
26206
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
11527
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1424
112.9 IPS |
|
|
Object Detection (HP)
|
100% |
1919
152.2 IPS |
|
|
Object Detection (Q)
|
88% |
1273
102.0 IPS |
|
|
Face Detection (SP)
|
100% |
2925
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
4768
56.7 IPS |
|
|
Face Detection (Q)
|
97% |
2486
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7800
60.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11807
91.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5982
47.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25719
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
43157
55.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19229
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4801
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7515
277.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3152
116.7 IPS |
|
|
Text Classification (SP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1052
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
647
867.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1716
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (Q)
|
70% |
764
14.3 IPS |