ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
8573
Single Precision Score
14862
Half Precision Score
6386
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | YOUNGCHAN |
| Upload Date | February 27 2026 01:11 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% |
3644
677.7 IPS |
|
|
Image Classification (HP)
|
100% |
5620
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
3180
591.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4732
76.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9404
152.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4053
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
36881
43.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
96527
112.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
27847
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
2772
219.9 IPS |
|
|
Object Detection (HP)
|
100% |
4558
361.5 IPS |
|
|
Object Detection (Q)
|
87% |
2627
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
7024
83.5 IPS |
|
|
Face Detection (HP)
|
100% |
13048
155.0 IPS |
|
|
Face Detection (Q)
|
97% |
6131
73.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22350
172.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35299
272.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
16435
131.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59213
76.1 IPS |
|
|
Style Transfer (HP)
|
100% |
154685
198.9 IPS |
|
|
Style Transfer (Q)
|
98% |
41649
53.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10652
393.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19319
713.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6188
229.1 IPS |
|
|
Text Classification (SP)
|
100% |
3018
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3654
4.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2134
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
4072
70.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4497
77.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2162
40.5 IPS |
