| User | hanyu |
| Upload Date | August 16 2024 04:02 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS TUF Gaming A14 FA401WV_FA401WV |
| Motherboard | ASUSTeK COMPUTER INC. FA401WV |
| Power Plan | Turbo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3332
619.6 IPS |
|
|
Image Classification (HP)
|
100% |
5219
970.6 IPS |
|
|
Image Classification (Q)
|
100% |
1988
369.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4672
75.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5635
91.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3951
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
51922
60.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
85520
99.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
36922
43.3 IPS |
|
|
Object Detection (SP)
|
100% |
2163
171.6 IPS |
|
|
Object Detection (HP)
|
100% |
4298
340.9 IPS |
|
|
Object Detection (Q)
|
89% |
2048
163.9 IPS |
|
|
Face Detection (SP)
|
100% |
5932
70.5 IPS |
|
|
Face Detection (HP)
|
100% |
9939
118.1 IPS |
|
|
Face Detection (Q)
|
97% |
4809
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17813
137.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
26626
205.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
13546
110.6 IPS |
|
|
Style Transfer (SP)
|
100% |
84604
108.8 IPS |
|
|
Style Transfer (HP)
|
100% |
133461
171.6 IPS |
|
|
Style Transfer (Q)
|
98% |
56587
73.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15720
580.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23132
854.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10202
377.8 IPS |
|
|
Text Classification (SP)
|
100% |
2730
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1925
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3822
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3997
68.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1229
27.4 IPS |