ASUSTeK COMPUTER INC. ASUS Vivobook S 15 M5506WA_M5506WA
Geekbench AI Score
3634
Single Precision Score
1695
Half Precision Score
7473
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Bullit |
| Upload Date | April 17 2025 11:37 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 w/ Radeon 880M |
| 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% |
2896
538.6 IPS |
|
|
Image Classification (HP)
|
100% |
568
105.6 IPS |
|
|
Image Classification (Q)
|
99% |
6898
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1101
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2958
48.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6505
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
5361
6.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
24089
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2976
236.1 IPS |
|
|
Object Detection (HP)
|
100% |
793
62.9 IPS |
|
|
Object Detection (Q)
|
86% |
7303
586.9 IPS |
|
|
Face Detection (SP)
|
100% |
5900
70.1 IPS |
|
|
Face Detection (HP)
|
100% |
1899
22.6 IPS |
|
|
Face Detection (Q)
|
97% |
10948
130.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7765
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2569
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
16607
132.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15216
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13070
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30571
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2373
87.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2139
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4071
150.7 IPS |
|
|
Text Classification (SP)
|
100% |
1511
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1670
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2604
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4006
80.5 IPS |
