ASUSTeK COMPUTER INC. ASUS Vivobook S 16 M5606WA_M5606WA
Geekbench AI Score
8778
Single Precision Score
14338
Half Precision Score
6288
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | sickweed |
| Upload Date | May 04 2025 10:45 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 890M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (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 HX 370 w/ Radeon 890M |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3391
630.7 IPS |
|
|
Image Classification (HP)
|
100% |
5403
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
2849
529.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4480
72.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5858
95.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3585
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
45579
53.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
109964
128.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
31869
37.3 IPS |
|
|
Object Detection (SP)
|
100% |
2525
200.3 IPS |
|
|
Object Detection (HP)
|
100% |
4530
359.4 IPS |
|
|
Object Detection (Q)
|
87% |
2374
190.7 IPS |
|
|
Face Detection (SP)
|
100% |
6725
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
12119
144.0 IPS |
|
|
Face Detection (Q)
|
97% |
5278
62.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19700
151.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
31552
243.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
14689
117.8 IPS |
|
|
Style Transfer (SP)
|
100% |
82868
106.5 IPS |
|
|
Style Transfer (HP)
|
100% |
160482
206.3 IPS |
|
|
Style Transfer (Q)
|
98% |
56056
72.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14861
548.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27823
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9640
356.9 IPS |
|
|
Text Classification (SP)
|
100% |
2562
3.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1825
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3718
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4633
79.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1636
30.7 IPS |
