ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_D5406WA
Geekbench AI Score
7029
Single Precision Score
11462
Half Precision Score
5589
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 24 2025 01:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_D5406WA |
| Motherboard | ASUSTeK COMPUTER INC. M5406WA |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3169
589.3 IPS |
|
|
Image Classification (HP)
|
100% |
5099
948.2 IPS |
|
|
Image Classification (Q)
|
100% |
2825
525.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4398
71.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5787
93.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3698
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
31442
36.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
75837
88.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
21785
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2586
205.1 IPS |
|
|
Object Detection (HP)
|
100% |
4327
343.2 IPS |
|
|
Object Detection (Q)
|
87% |
2347
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
6391
75.9 IPS |
|
|
Face Detection (HP)
|
100% |
11745
139.6 IPS |
|
|
Face Detection (Q)
|
97% |
5296
63.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19177
147.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
27764
213.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
13138
105.4 IPS |
|
|
Style Transfer (SP)
|
100% |
50686
65.2 IPS |
|
|
Style Transfer (HP)
|
100% |
94895
122.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38018
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8449
312.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13759
508.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8187
303.2 IPS |
|
|
Text Classification (SP)
|
100% |
1483
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2356
3.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1554
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3341
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4030
69.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1655
31.0 IPS |
