ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606CA_S5606CA
Geekbench AI Score
9930
Single Precision Score
18700
Half Precision Score
22854
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ChrissoChrisso |
| Upload Date | June 02 2025 02:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6455
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
9828
1.83 KIPS |
|
|
Image Classification (Q)
|
100% |
12834
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8741
141.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17924
290.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
21353
346.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
23022
26.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
75642
88.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
140986
165.1 IPS |
|
|
Object Detection (SP)
|
100% |
6309
500.4 IPS |
|
|
Object Detection (HP)
|
100% |
11092
879.8 IPS |
|
|
Object Detection (Q)
|
88% |
13207
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
12265
145.7 IPS |
|
|
Face Detection (HP)
|
100% |
22190
263.7 IPS |
|
|
Face Detection (Q)
|
100% |
27982
332.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21307
164.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
37962
292.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
49328
383.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57616
74.1 IPS |
|
|
Style Transfer (HP)
|
100% |
127946
164.5 IPS |
|
|
Style Transfer (Q)
|
98% |
189473
244.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9341
344.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24093
889.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28353
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2896
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3144
4.20 KIPS |
|
|
Text Classification (Q)
|
92% |
2376
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2795
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4335
74.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4324
74.5 IPS |
