ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
2482
Single Precision Score
8972
Half Precision Score
13891
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JohnnieBG |
| Upload Date | July 05 2025 11:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA |
| Motherboard | ASUSTeK COMPUTER INC. S5506MA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1631
303.3 IPS |
|
|
Image Classification (HP)
|
100% |
6362
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
8805
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2228
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2477
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3048
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3562
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
30666
35.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
66748
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.1 IPS |
|
|
Object Detection (HP)
|
100% |
5422
430.1 IPS |
|
|
Object Detection (Q)
|
88% |
9120
731.1 IPS |
|
|
Face Detection (SP)
|
100% |
3658
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
15202
180.6 IPS |
|
|
Face Detection (Q)
|
100% |
29003
344.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3523
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17634
135.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
32308
251.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8023
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48603
62.5 IPS |
|
|
Style Transfer (Q)
|
98% |
87905
113.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14206
524.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27521
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (HP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (Q)
|
92% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3894
67.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3879
66.8 IPS |
