ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
1543
Single Precision Score
800
Half Precision Score
3535
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Maalluhaybi |
| Upload Date | March 04 2026 08:01 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA |
| Motherboard | ASUSTeK COMPUTER INC. M5406WA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1158
215.3 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
99% |
2384
444.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
530
8.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
492
7.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
4040
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2316
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2180
2.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
10746
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1173
93.0 IPS |
|
|
Object Detection (HP)
|
100% |
375
29.7 IPS |
|
|
Object Detection (Q)
|
86% |
3148
253.0 IPS |
|
|
Face Detection (SP)
|
100% |
3271
38.9 IPS |
|
|
Face Detection (HP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
4465
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3207
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1212
9.34 IPS |
|
|
Depth Estimation (Q)
|
78% |
8001
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5713
7.34 IPS |
|
|
Style Transfer (HP)
|
100% |
5594
7.19 IPS |
|
|
Style Transfer (Q)
|
98% |
17410
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
951
35.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
924
34.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1681
62.3 IPS |
|
|
Text Classification (SP)
|
100% |
732
976.5 IPS |
|
|
Text Classification (HP)
|
100% |
366
488.7 IPS |
|
|
Text Classification (Q)
|
97% |
598
801.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
450
7.74 IPS |
|
|
Machine Translation (Q)
|
65% |
1496
30.1 IPS |
