ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
2395
Single Precision Score
1196
Half Precision Score
5208
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | amonani |
| Upload Date | March 17 2026 06:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| 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 | Ultimate Performance |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1574
292.7 IPS |
|
|
Image Classification (HP)
|
100% |
443
82.4 IPS |
|
|
Image Classification (Q)
|
99% |
4419
824.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6017
97.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4160
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3612
4.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
16290
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1877
148.9 IPS |
|
|
Object Detection (HP)
|
100% |
553
43.8 IPS |
|
|
Object Detection (Q)
|
86% |
4590
368.9 IPS |
|
|
Face Detection (SP)
|
100% |
4165
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
1241
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
7271
86.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5300
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1809
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10284
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9923
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9247
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23839
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1672
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1516
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1974
73.1 IPS |
|
|
Text Classification (SP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
459
612.1 IPS |
|
|
Text Classification (Q)
|
97% |
970
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2167
43.5 IPS |
