ASUSTeK COMPUTER INC. ASUS Vivobook S 15 M5506WA_M5506WA
Geekbench AI Score
3888
Single Precision Score
4849
Half Precision Score
13127
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | williamprimeee |
| Upload Date | March 03 2026 09:41 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| 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% |
255
47.5 IPS |
|
|
Image Classification (HP)
|
100% |
2663
495.2 IPS |
|
|
Image Classification (Q)
|
100% |
8655
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3456
56.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3228
52.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8697
141.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6242
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
5692
6.64 IPS |
|
|
Pose Estimation (Q)
|
98% |
26318
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
2885
228.8 IPS |
|
|
Object Detection (HP)
|
100% |
3002
238.1 IPS |
|
|
Object Detection (Q)
|
88% |
9170
735.1 IPS |
|
|
Face Detection (SP)
|
100% |
7495
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
7500
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
21820
259.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8223
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8300
63.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
22280
173.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19020
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18174
23.4 IPS |
|
|
Style Transfer (Q)
|
98% |
68658
88.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3810
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3995
147.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12622
467.4 IPS |
|
|
Text Classification (SP)
|
100% |
2846
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2754
3.68 KIPS |
|
|
Text Classification (Q)
|
92% |
3875
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3915
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3937
67.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5127
88.3 IPS |
