ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA-0101 ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
2668
Single Precision Score
1238
Half Precision Score
5753
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | YOUNGCHAN |
| Upload Date | February 27 2026 01:26 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA |
| Motherboard | ASUSTeK COMPUTER INC. M5406WA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2579
479.6 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.8 IPS |
|
|
Image Classification (Q)
|
99% |
5099
951.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
758
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6828
111.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4440
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
3865
4.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
16227
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2148
170.4 IPS |
|
|
Object Detection (HP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (Q)
|
86% |
4746
381.4 IPS |
|
|
Face Detection (SP)
|
100% |
4614
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
1141
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
7049
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5671
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1694
13.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12203
97.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10862
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10483
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23635
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1656
61.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3331
123.4 IPS |
|
|
Text Classification (SP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
697
930.8 IPS |
|
|
Text Classification (Q)
|
97% |
1079
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1452
25.0 IPS |
|
|
Machine Translation (HP)
|
100% |
655
11.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2028
40.8 IPS |
