ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606WA_M5606WA
Geekbench AI Score
4081
Single Precision Score
1949
Half Precision Score
7567
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | DDD_Xleb |
| Upload Date | September 25 2025 08:27 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 HX 370 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606WA_M5606WA |
| Motherboard | ASUSTeK COMPUTER INC. M5606WA |
| 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% |
3263
606.8 IPS |
|
|
Image Classification (HP)
|
100% |
699
129.9 IPS |
|
|
Image Classification (Q)
|
99% |
7982
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1243
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1228
19.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10670
173.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8230
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
6545
7.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
27760
32.5 IPS |
|
|
Object Detection (SP)
|
100% |
3116
247.2 IPS |
|
|
Object Detection (HP)
|
100% |
847
67.2 IPS |
|
|
Object Detection (Q)
|
86% |
8050
646.9 IPS |
|
|
Face Detection (SP)
|
100% |
6389
75.9 IPS |
|
|
Face Detection (HP)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
9108
108.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9215
71.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2852
22.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
17386
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18786
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16408
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33339
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2638
97.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2427
89.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1359
50.3 IPS |
|
|
Text Classification (SP)
|
100% |
1695
2.26 KIPS |
|
|
Text Classification (HP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1467
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3075
61.8 IPS |
