ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
7956
Single Precision Score
12738
Half Precision Score
5848
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:26 AM |
| Views | 4 |
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_M5406WA |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2954
549.3 IPS |
|
|
Image Classification (HP)
|
100% |
4956
921.7 IPS |
|
|
Image Classification (Q)
|
100% |
2691
500.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4203
68.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5644
91.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3545
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
42094
49.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
89505
104.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
30855
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
1953
154.9 IPS |
|
|
Object Detection (HP)
|
100% |
3235
256.6 IPS |
|
|
Object Detection (Q)
|
87% |
2029
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
6223
73.9 IPS |
|
|
Face Detection (HP)
|
100% |
11164
132.6 IPS |
|
|
Face Detection (Q)
|
97% |
5244
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18235
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
26885
207.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12113
97.1 IPS |
|
|
Style Transfer (SP)
|
100% |
76746
98.7 IPS |
|
|
Style Transfer (HP)
|
100% |
128785
165.6 IPS |
|
|
Style Transfer (Q)
|
98% |
49579
63.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11171
412.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27089
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
7459
276.2 IPS |
|
|
Text Classification (SP)
|
100% |
2651
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3173
4.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1869
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3862
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4181
72.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1785
33.5 IPS |
