ASUSTeK COMPUTER INC. ASUS Vivobook S 15 M5506WA_M5506WA
Geekbench AI Score
3460
Single Precision Score
1730
Half Precision Score
7406
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | williamprimeee |
| Upload Date | March 03 2026 09:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 M5506WA_M5506WA |
| Motherboard | ASUSTeK COMPUTER INC. M5506WA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2922
543.4 IPS |
|
|
Image Classification (HP)
|
100% |
741
137.7 IPS |
|
|
Image Classification (Q)
|
99% |
7430
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1194
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9936
161.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6833
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
5658
6.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
25739
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
2899
229.9 IPS |
|
|
Object Detection (HP)
|
100% |
920
72.9 IPS |
|
|
Object Detection (Q)
|
86% |
7617
612.1 IPS |
|
|
Face Detection (SP)
|
100% |
5756
68.4 IPS |
|
|
Face Detection (HP)
|
100% |
1541
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
9331
111.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6826
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2401
18.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16313
130.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12562
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12183
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29892
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2300
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2225
82.4 IPS |
|
|
Text Classification (SP)
|
100% |
1566
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1339
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2004
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2532
50.9 IPS |
