ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
2986
Single Precision Score
26099
Half Precision Score
40076
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 05:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA |
| Motherboard | ASUSTeK COMPUTER INC. S5406SA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1858
345.5 IPS |
|
|
Image Classification (HP)
|
100% |
14059
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
18844
3.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1945
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19597
317.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32250
522.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3262
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
109753
128.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
215411
252.3 IPS |
|
|
Object Detection (SP)
|
100% |
1824
144.7 IPS |
|
|
Object Detection (HP)
|
100% |
17460
1.38 KIPS |
|
|
Object Detection (Q)
|
87% |
25740
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
5294
62.9 IPS |
|
|
Face Detection (HP)
|
100% |
40699
483.6 IPS |
|
|
Face Detection (Q)
|
100% |
85323
1.01 KIPS |
|
|
Depth Estimation (SP)
|
100% |
3678
28.3 IPS |
|
|
Depth Estimation (HP)
|
93% |
72962
565.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
144048
1.12 KIPS |
|
|
Style Transfer (SP)
|
100% |
8813
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
212861
273.6 IPS |
|
|
Style Transfer (Q)
|
98% |
370478
477.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2080
76.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37221
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
64957
2.41 KIPS |
|
|
Text Classification (SP)
|
100% |
2116
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (Q)
|
92% |
2660
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3473
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3990
68.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4032
69.5 IPS |
