ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
9286
Single Precision Score
16108
Half Precision Score
6697
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | YOUNGCHAN |
| Upload Date | February 27 2026 01:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| 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% |
3682
684.8 IPS |
|
|
Image Classification (HP)
|
100% |
5760
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
3272
608.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4994
81.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10449
169.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4246
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
48385
56.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
99714
116.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
32036
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.0 IPS |
|
|
Object Detection (HP)
|
100% |
4560
361.7 IPS |
|
|
Object Detection (Q)
|
87% |
2572
206.6 IPS |
|
|
Face Detection (SP)
|
100% |
7085
84.2 IPS |
|
|
Face Detection (HP)
|
100% |
13571
161.3 IPS |
|
|
Face Detection (Q)
|
97% |
6134
73.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22025
169.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36956
284.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
16820
134.9 IPS |
|
|
Style Transfer (SP)
|
100% |
83828
107.8 IPS |
|
|
Style Transfer (HP)
|
100% |
166508
214.0 IPS |
|
|
Style Transfer (Q)
|
98% |
47462
61.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10916
403.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26686
985.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6598
244.3 IPS |
|
|
Text Classification (SP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3702
4.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2220
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4612
79.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5212
89.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2211
41.5 IPS |
