ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
8596
Single Precision Score
13147
Half Precision Score
6527
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 01:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA |
| Motherboard | ASUSTeK COMPUTER INC. M5406WA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3165
588.6 IPS |
|
|
Image Classification (HP)
|
100% |
4940
918.7 IPS |
|
|
Image Classification (Q)
|
100% |
2963
551.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4686
76.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5302
86.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3769
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
43128
50.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
72004
84.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
33384
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (HP)
|
100% |
4431
351.5 IPS |
|
|
Object Detection (Q)
|
87% |
2876
231.0 IPS |
|
|
Face Detection (SP)
|
100% |
6989
83.0 IPS |
|
|
Face Detection (HP)
|
100% |
13166
156.4 IPS |
|
|
Face Detection (Q)
|
97% |
6071
72.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20269
156.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29561
227.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
15605
125.1 IPS |
|
|
Style Transfer (SP)
|
100% |
72055
92.6 IPS |
|
|
Style Transfer (HP)
|
100% |
122132
157.0 IPS |
|
|
Style Transfer (Q)
|
98% |
53913
69.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15131
558.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26080
963.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9765
361.6 IPS |
|
|
Text Classification (SP)
|
100% |
2515
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1787
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3269
56.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4317
74.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1470
27.6 IPS |
