ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA
Geekbench AI Score
2188
Single Precision Score
13403
Half Precision Score
19289
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gshaw1967 |
| Upload Date | February 20 2025 12:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA |
| Motherboard | ASUSTeK COMPUTER INC. S5406SA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
6756
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
11917
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7413
120.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8809
142.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2480
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
64974
75.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
144482
169.2 IPS |
|
|
Object Detection (SP)
|
100% |
1314
104.2 IPS |
|
|
Object Detection (HP)
|
100% |
8151
646.6 IPS |
|
|
Object Detection (Q)
|
87% |
10784
865.5 IPS |
|
|
Face Detection (SP)
|
100% |
3738
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
17112
203.3 IPS |
|
|
Face Detection (Q)
|
100% |
25094
298.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3142
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
46278
356.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
70063
545.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7353
9.45 IPS |
|
|
Style Transfer (HP)
|
100% |
155444
199.8 IPS |
|
|
Style Transfer (Q)
|
98% |
230474
297.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1565
57.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21145
780.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32342
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
1503
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
1585
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
1779
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1866
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1710
29.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1870
32.2 IPS |
