ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606WA_M5606WA
Geekbench AI Score
3338
Single Precision Score
1532
Half Precision Score
6610
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 09:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606WA_M5606WA |
| Motherboard | ASUSTeK COMPUTER INC. M5606WA |
| Power Plan | Bilanciato |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2830
526.3 IPS |
|
|
Image Classification (HP)
|
100% |
629
117.0 IPS |
|
|
Image Classification (Q)
|
99% |
7237
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1498
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1033
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3842
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6131
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
5032
5.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
23232
27.2 IPS |
|
|
Object Detection (SP)
|
100% |
2894
229.5 IPS |
|
|
Object Detection (HP)
|
100% |
797
63.2 IPS |
|
|
Object Detection (Q)
|
86% |
6866
551.8 IPS |
|
|
Face Detection (SP)
|
100% |
5902
70.1 IPS |
|
|
Face Detection (HP)
|
100% |
1688
20.1 IPS |
|
|
Face Detection (Q)
|
97% |
10839
129.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8097
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2603
20.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
15181
121.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14076
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12060
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
21124
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1462
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2447
90.6 IPS |
|
|
Text Classification (SP)
|
100% |
1112
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
614
819.4 IPS |
|
|
Text Classification (Q)
|
97% |
1577
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2029
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (Q)
|
65% |
2680
53.8 IPS |
