ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
2452
Single Precision Score
2569
Half Precision Score
6578
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JohnnieBG |
| Upload Date | May 09 2025 08:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| 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% |
1501
279.2 IPS |
|
|
Image Classification (HP)
|
100% |
1633
303.7 IPS |
|
|
Image Classification (Q)
|
100% |
5281
982.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5137
83.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3888
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
3700
4.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
12704
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (Q)
|
88% |
4376
350.8 IPS |
|
|
Face Detection (SP)
|
100% |
3607
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
4517
53.7 IPS |
|
|
Face Detection (Q)
|
100% |
9565
113.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3758
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3908
30.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
9623
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9606
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9419
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33129
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1698
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6413
237.5 IPS |
|
|
Text Classification (SP)
|
100% |
1865
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1779
2.37 KIPS |
|
|
Text Classification (Q)
|
92% |
3212
4.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1890
32.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1602
27.6 IPS |
