ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
5653
Single Precision Score
5660
Half Precision Score
14781
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | YOUNGCHAN |
| Upload Date | February 27 2026 01:46 PM |
| Views | 7 |
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% |
3381
628.7 IPS |
|
|
Image Classification (HP)
|
100% |
3254
605.1 IPS |
|
|
Image Classification (Q)
|
100% |
9528
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4220
68.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3835
62.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10239
166.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8086
9.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
8062
9.41 IPS |
|
|
Pose Estimation (Q)
|
98% |
30871
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
3176
251.9 IPS |
|
|
Object Detection (HP)
|
100% |
3325
263.8 IPS |
|
|
Object Detection (Q)
|
88% |
9917
795.0 IPS |
|
|
Face Detection (SP)
|
100% |
7943
94.4 IPS |
|
|
Face Detection (HP)
|
100% |
8229
97.8 IPS |
|
|
Face Detection (Q)
|
100% |
25098
298.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9353
72.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9432
72.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
25100
195.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21537
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22240
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
83870
108.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4573
168.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4744
175.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15340
568.1 IPS |
|
|
Text Classification (SP)
|
100% |
3073
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (Q)
|
92% |
3896
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4050
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4162
71.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5281
91.0 IPS |
