ASUSTeK COMPUTER INC. ASUS Vivobook S 14 M5406WA_M5406WA
Geekbench AI Score
2330
Single Precision Score
1107
Half Precision Score
4377
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 21 2025 04:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 w/ Radeon 890M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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% |
1513
281.3 IPS |
|
|
Image Classification (HP)
|
100% |
374
69.6 IPS |
|
|
Image Classification (Q)
|
99% |
3952
737.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
2225
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4386
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3852
4.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
18537
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
1638
129.9 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.2 IPS |
|
|
Object Detection (Q)
|
86% |
4180
336.0 IPS |
|
|
Face Detection (SP)
|
100% |
4239
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
1198
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
4614
55.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5378
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1673
12.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
8191
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10036
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10269
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
20597
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1502
55.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2334
86.4 IPS |
|
|
Text Classification (SP)
|
100% |
904
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
452
602.8 IPS |
|
|
Text Classification (Q)
|
97% |
917
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1481
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (Q)
|
65% |
2278
45.8 IPS |
