ASUSTeK COMPUTER INC. ASUS Vivobook S 15 M5506WA_M5506WA
Geekbench AI Score
17405
Single Precision Score
23784
Half Precision Score
15742
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 12:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 M5506WA_M5506WA |
| Motherboard | ASUSTeK COMPUTER INC. M5506WA |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 HX 370 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9597
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
10997
2.05 KIPS |
|
|
Image Classification (Q)
|
100% |
8942
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9504
154.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11158
180.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8702
141.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
122045
142.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
256747
299.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
101736
119.2 IPS |
|
|
Object Detection (SP)
|
100% |
5134
407.3 IPS |
|
|
Object Detection (HP)
|
99% |
10514
834.0 IPS |
|
|
Object Detection (Q)
|
87% |
7524
604.3 IPS |
|
|
Face Detection (SP)
|
100% |
17032
202.4 IPS |
|
|
Face Detection (HP)
|
100% |
19916
236.6 IPS |
|
|
Face Detection (Q)
|
97% |
18527
220.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
44521
343.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
64764
499.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
39236
314.7 IPS |
|
|
Style Transfer (SP)
|
100% |
196999
253.2 IPS |
|
|
Style Transfer (HP)
|
100% |
292707
376.3 IPS |
|
|
Style Transfer (Q)
|
98% |
160451
206.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34838
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59540
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28451
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3959
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3744
5.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2830
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2167
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2078
35.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1671
31.3 IPS |
