ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
8792
Single Precision Score
14089
Half Precision Score
6156
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | YOUNGCHAN |
| Upload Date | February 27 2026 01:13 PM |
| Views | 7 |
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% |
3614
672.2 IPS |
|
|
Image Classification (HP)
|
100% |
5596
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
3061
569.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4457
72.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9621
156.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3839
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
42257
49.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
93619
109.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26333
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.1 IPS |
|
|
Object Detection (HP)
|
100% |
4329
343.4 IPS |
|
|
Object Detection (Q)
|
87% |
2451
196.9 IPS |
|
|
Face Detection (SP)
|
100% |
7062
83.9 IPS |
|
|
Face Detection (HP)
|
100% |
13111
155.8 IPS |
|
|
Face Detection (Q)
|
97% |
5910
70.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20007
154.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33747
260.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
16270
130.5 IPS |
|
|
Style Transfer (SP)
|
100% |
77345
99.4 IPS |
|
|
Style Transfer (HP)
|
100% |
138322
177.8 IPS |
|
|
Style Transfer (Q)
|
98% |
40063
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10905
402.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15452
570.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6559
242.9 IPS |
|
|
Text Classification (SP)
|
100% |
3152
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
3770
5.03 KIPS |
|
|
Text Classification (Q)
|
97% |
2217
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4079
70.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3962
68.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1842
34.6 IPS |
