ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
9082
Single Precision Score
14913
Half Precision Score
6300
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | YOUNGCHAN |
| Upload Date | February 27 2026 01:35 PM |
| Views | 5 |
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% |
3664
681.4 IPS |
|
|
Image Classification (HP)
|
100% |
5596
1.04 KIPS |
|
|
Image Classification (Q)
|
100% |
3158
587.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4971
80.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9225
149.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3876
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
47754
55.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
103362
120.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
26398
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
4512
357.9 IPS |
|
|
Object Detection (Q)
|
87% |
2579
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
6748
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
12530
148.9 IPS |
|
|
Face Detection (Q)
|
97% |
5586
66.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20583
158.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35766
275.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
16710
134.0 IPS |
|
|
Style Transfer (SP)
|
100% |
80585
103.6 IPS |
|
|
Style Transfer (HP)
|
100% |
126654
162.8 IPS |
|
|
Style Transfer (Q)
|
98% |
45330
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12159
449.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24036
887.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6585
243.8 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (Q)
|
97% |
2107
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4395
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4830
83.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2016
37.8 IPS |
