ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
2650
Single Precision Score
1163
Half Precision Score
5177
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 09:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA |
| Motherboard | ASUSTeK COMPUTER INC. S5506MA |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2200
409.2 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.7 IPS |
|
|
Image Classification (Q)
|
99% |
4488
837.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
984
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
559
9.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
3345
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3963
4.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2695
3.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
13969
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1943
154.1 IPS |
|
|
Object Detection (HP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (Q)
|
86% |
4574
367.6 IPS |
|
|
Face Detection (SP)
|
100% |
6227
74.0 IPS |
|
|
Face Detection (HP)
|
100% |
1244
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
6891
82.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5443
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1728
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11618
92.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9911
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7463
9.59 IPS |
|
|
Style Transfer (Q)
|
98% |
17614
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1967
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1367
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3624
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
1188
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
641
855.9 IPS |
|
|
Text Classification (Q)
|
97% |
1218
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2320
46.6 IPS |
