ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
2467
Single Precision Score
8872
Half Precision Score
13475
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JohnnieBG |
| Upload Date | May 09 2025 08:12 PM |
| Views | 6 |
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% |
1693
314.8 IPS |
|
|
Image Classification (HP)
|
100% |
6129
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8605
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2473
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3116
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4048
4.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
30638
35.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
66682
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1614
128.0 IPS |
|
|
Object Detection (HP)
|
100% |
5394
427.9 IPS |
|
|
Object Detection (Q)
|
87% |
8788
705.3 IPS |
|
|
Face Detection (SP)
|
100% |
2778
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
15422
183.3 IPS |
|
|
Face Detection (Q)
|
100% |
29160
346.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3756
28.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17633
135.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
32384
252.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10960
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49419
63.5 IPS |
|
|
Style Transfer (Q)
|
98% |
88371
114.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1876
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12733
470.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21269
787.7 IPS |
|
|
Text Classification (SP)
|
100% |
1713
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1831
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
1811
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1141
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3852
66.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3908
67.3 IPS |
