ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
2884
Single Precision Score
8831
Half Precision Score
13482
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JohnnieBG |
| Upload Date | June 13 2025 03:43 PM |
| Views | 8 |
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% |
1709
317.8 IPS |
|
|
Image Classification (HP)
|
100% |
6245
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
8713
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3088
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3852
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
30769
35.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
66475
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
100% |
5271
418.1 IPS |
|
|
Object Detection (Q)
|
87% |
8804
706.6 IPS |
|
|
Face Detection (SP)
|
100% |
5078
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
15057
178.9 IPS |
|
|
Face Detection (Q)
|
100% |
29125
346.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3881
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17605
135.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
32369
251.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10159
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48165
61.9 IPS |
|
|
Style Transfer (Q)
|
98% |
87564
112.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2203
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12689
468.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21234
786.4 IPS |
|
|
Text Classification (SP)
|
100% |
1791
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1842
2.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1834
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3921
67.5 IPS |
