ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606CA_S5606CA
Geekbench AI Score
8738
Single Precision Score
16635
Half Precision Score
21850
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Lumpek |
| Upload Date | October 02 2025 12:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130T GPU (16GB) (iGPU) |
| 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 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6222
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
8496
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
11320
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8289
134.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18429
298.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20862
338.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
19309
22.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
68764
80.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
130667
153.0 IPS |
|
|
Object Detection (SP)
|
100% |
4832
383.3 IPS |
|
|
Object Detection (HP)
|
100% |
10300
817.0 IPS |
|
|
Object Detection (Q)
|
88% |
12440
996.9 IPS |
|
|
Face Detection (SP)
|
100% |
12207
145.0 IPS |
|
|
Face Detection (HP)
|
100% |
23047
273.8 IPS |
|
|
Face Detection (Q)
|
100% |
30142
358.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17856
137.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
32276
248.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
43810
340.5 IPS |
|
|
Style Transfer (SP)
|
100% |
47257
60.7 IPS |
|
|
Style Transfer (HP)
|
100% |
58680
75.4 IPS |
|
|
Style Transfer (Q)
|
98% |
169774
218.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7733
285.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22311
823.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28119
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2578
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (Q)
|
92% |
2227
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2628
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4833
83.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4603
79.3 IPS |
