ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606WA_M5606WA
Geekbench AI Score
6341
Single Precision Score
9592
Half Precision Score
5079
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 03:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 880M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606WA_M5606WA |
| Motherboard | ASUSTeK COMPUTER INC. M5606WA |
| 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% |
1445
268.8 IPS |
|
|
Image Classification (HP)
|
100% |
3574
664.7 IPS |
|
|
Image Classification (Q)
|
100% |
2313
430.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3847
62.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4596
74.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2891
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37185
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
65308
76.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
27452
32.2 IPS |
|
|
Object Detection (SP)
|
100% |
2763
219.2 IPS |
|
|
Object Detection (HP)
|
100% |
3860
306.2 IPS |
|
|
Object Detection (Q)
|
87% |
1873
150.5 IPS |
|
|
Face Detection (SP)
|
100% |
5648
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
10059
119.5 IPS |
|
|
Face Detection (Q)
|
97% |
4826
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14839
114.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21846
168.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
12512
100.3 IPS |
|
|
Style Transfer (SP)
|
100% |
45642
58.7 IPS |
|
|
Style Transfer (HP)
|
100% |
70613
90.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29939
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11379
420.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11738
433.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8057
298.3 IPS |
|
|
Text Classification (SP)
|
100% |
1541
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2680
3.58 KIPS |
|
|
Text Classification (Q)
|
97% |
1596
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2744
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1430
26.8 IPS |
