ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
9352
Single Precision Score
15499
Half Precision Score
6354
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | YOUNGCHAN |
| Upload Date | February 27 2026 01:21 PM |
| Views | 5 |
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% |
3685
685.4 IPS |
|
|
Image Classification (HP)
|
100% |
5547
1.03 KIPS |
|
|
Image Classification (Q)
|
100% |
3170
589.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5038
81.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9434
152.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4100
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
46724
54.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
102935
120.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
27217
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
2592
205.6 IPS |
|
|
Object Detection (HP)
|
100% |
4514
358.0 IPS |
|
|
Object Detection (Q)
|
87% |
2361
189.6 IPS |
|
|
Face Detection (SP)
|
100% |
6882
81.8 IPS |
|
|
Face Detection (HP)
|
100% |
13214
157.0 IPS |
|
|
Face Detection (Q)
|
97% |
6177
73.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22983
177.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
36501
281.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
17186
137.8 IPS |
|
|
Style Transfer (SP)
|
100% |
85144
109.5 IPS |
|
|
Style Transfer (HP)
|
100% |
154255
198.3 IPS |
|
|
Style Transfer (Q)
|
98% |
39831
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12344
455.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26356
973.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7295
270.1 IPS |
|
|
Text Classification (SP)
|
100% |
3058
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2224
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4481
77.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4962
85.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1873
35.1 IPS |
