ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
5679
Single Precision Score
5753
Half Precision Score
15041
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | YOUNGCHAN |
| Upload Date | February 27 2026 01:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| 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% |
3427
637.3 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.1 IPS |
|
|
Image Classification (Q)
|
100% |
9901
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4352
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4259
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12439
201.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8151
9.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
8147
9.51 IPS |
|
|
Pose Estimation (Q)
|
98% |
32200
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
3305
262.2 IPS |
|
|
Object Detection (HP)
|
100% |
3238
256.8 IPS |
|
|
Object Detection (Q)
|
88% |
9184
736.2 IPS |
|
|
Face Detection (SP)
|
100% |
8296
98.6 IPS |
|
|
Face Detection (HP)
|
100% |
8278
98.4 IPS |
|
|
Face Detection (Q)
|
100% |
25281
300.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9397
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9647
74.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
25248
196.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22471
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22524
29.0 IPS |
|
|
Style Transfer (Q)
|
98% |
84463
108.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4649
171.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4790
176.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15744
583.0 IPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (Q)
|
92% |
3824
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3596
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4105
70.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5015
86.4 IPS |
