ASUSTeK COMPUTER INC. ASUS Vivobook S 15 M5506WA_M5506WA
Geekbench AI Score
3502
Single Precision Score
1623
Half Precision Score
7357
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | lofinds |
| Upload Date | April 03 2025 02:56 PM |
| 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 | Balanced |
| 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% |
2509
466.6 IPS |
|
|
Image Classification (HP)
|
100% |
585
108.7 IPS |
|
|
Image Classification (Q)
|
99% |
7353
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
956
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3764
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6057
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
4980
5.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
25312
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
2497
198.0 IPS |
|
|
Object Detection (HP)
|
100% |
757
60.0 IPS |
|
|
Object Detection (Q)
|
86% |
7036
565.4 IPS |
|
|
Face Detection (SP)
|
100% |
5719
68.0 IPS |
|
|
Face Detection (HP)
|
100% |
1684
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
10928
130.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7453
57.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2543
19.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
15798
126.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15028
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12924
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29979
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1899
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1849
68.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3232
119.7 IPS |
|
|
Text Classification (SP)
|
100% |
1662
2.22 KIPS |
|
|
Text Classification (HP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1671
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2060
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
755
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3375
67.8 IPS |
