ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606CA_S5606CA
Geekbench AI Score
3461
Single Precision Score
1445
Half Precision Score
6257
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | opathofer |
| Upload Date | August 29 2025 06:00 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606CA_S5606CA |
| Motherboard | ASUSTeK COMPUTER INC. S5606CA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2977
553.7 IPS |
|
|
Image Classification (HP)
|
100% |
598
111.2 IPS |
|
|
Image Classification (Q)
|
99% |
6052
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
875
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8458
137.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5951
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4231
4.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
20047
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.1 IPS |
|
|
Object Detection (HP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (Q)
|
86% |
5613
451.1 IPS |
|
|
Face Detection (SP)
|
100% |
7377
87.7 IPS |
|
|
Face Detection (HP)
|
100% |
1401
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
7816
93.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6442
49.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1820
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13689
109.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14151
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9885
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
20465
26.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2403
88.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3432
127.1 IPS |
|
|
Text Classification (SP)
|
100% |
1372
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
694
926.4 IPS |
|
|
Text Classification (Q)
|
97% |
1189
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1775
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (Q)
|
65% |
1789
35.9 IPS |
