ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA
Geekbench AI Score
3189
Single Precision Score
1228
Half Precision Score
6050
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tragazzini |
| Upload Date | July 20 2025 06:27 PM |
| Views | 9 |
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 16 S5606MA_S5606MA |
| Motherboard | ASUSTeK COMPUTER INC. S5606MA |
| Power Plan | Bilanciato |
| 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% |
2594
482.5 IPS |
|
|
Image Classification (HP)
|
100% |
556
103.4 IPS |
|
|
Image Classification (Q)
|
99% |
5206
970.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7546
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5152
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2410
2.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
16059
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2157
171.1 IPS |
|
|
Object Detection (HP)
|
100% |
557
44.2 IPS |
|
|
Object Detection (Q)
|
86% |
4879
392.1 IPS |
|
|
Face Detection (SP)
|
100% |
6550
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
1282
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
8165
97.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6341
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1725
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
12570
100.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11955
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7187
9.24 IPS |
|
|
Style Transfer (Q)
|
98% |
18093
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2205
81.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1592
58.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4015
148.7 IPS |
|
|
Text Classification (SP)
|
100% |
1295
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
560
747.6 IPS |
|
|
Text Classification (Q)
|
97% |
1244
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1781
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2302
46.3 IPS |
