ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
2560
Single Precision Score
1018
Half Precision Score
3927
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | j2thefre |
| Upload Date | April 13 2025 11:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| 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 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1715
318.9 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.3 IPS |
|
|
Image Classification (Q)
|
99% |
4765
888.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
889
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
558
9.05 IPS |
|
|
Image Segmentation (Q)
|
98% |
2013
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4598
5.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
3034
3.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
16161
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2028
160.8 IPS |
|
|
Object Detection (HP)
|
100% |
443
35.2 IPS |
|
|
Object Detection (Q)
|
86% |
3113
250.2 IPS |
|
|
Face Detection (SP)
|
100% |
5525
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
1093
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
5943
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6106
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1465
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10171
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10894
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7560
9.72 IPS |
|
|
Style Transfer (Q)
|
98% |
14093
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1668
61.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1460
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2805
103.9 IPS |
|
|
Text Classification (SP)
|
100% |
1189
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
482
643.8 IPS |
|
|
Text Classification (Q)
|
97% |
435
582.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1170
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
504
8.67 IPS |
|
|
Machine Translation (Q)
|
65% |
1742
35.0 IPS |
