ML- ASUS VIVO- UNDERVOLTING ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
8921
Single Precision Score
15430
Half Precision Score
6479
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | YOUNGCHAN |
| Upload Date | February 27 2026 01:32 PM |
| Views | 8 |
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% |
3655
679.7 IPS |
|
|
Image Classification (HP)
|
100% |
5806
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
3237
601.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4975
80.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9629
156.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4114
66.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
47225
55.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
105451
123.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29141
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
2523
200.1 IPS |
|
|
Object Detection (HP)
|
100% |
4342
344.4 IPS |
|
|
Object Detection (Q)
|
87% |
2589
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
6758
80.3 IPS |
|
|
Face Detection (HP)
|
100% |
12064
143.3 IPS |
|
|
Face Detection (Q)
|
97% |
5934
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21577
166.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
32358
249.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
15434
123.8 IPS |
|
|
Style Transfer (SP)
|
100% |
80234
103.1 IPS |
|
|
Style Transfer (HP)
|
100% |
161703
207.9 IPS |
|
|
Style Transfer (Q)
|
98% |
45215
58.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9636
355.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27484
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
7164
265.3 IPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3531
4.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2112
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4455
76.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4881
84.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2073
38.9 IPS |
