ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
10613
Single Precision Score
25470
Half Precision Score
27636
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 01:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA |
| Motherboard | ASUSTeK COMPUTER INC. S5406SA |
| 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% |
7236
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
14565
2.71 KIPS |
|
|
Image Classification (Q)
|
100% |
17219
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9401
152.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24305
394.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
28886
468.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22465
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
129214
150.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
251843
294.8 IPS |
|
|
Object Detection (SP)
|
100% |
6677
529.6 IPS |
|
|
Object Detection (HP)
|
100% |
15759
1.25 KIPS |
|
|
Object Detection (Q)
|
88% |
15032
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
12890
153.2 IPS |
|
|
Face Detection (HP)
|
100% |
28551
339.2 IPS |
|
|
Face Detection (Q)
|
100% |
34669
411.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
23668
182.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
57829
445.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
64950
505.1 IPS |
|
|
Style Transfer (SP)
|
100% |
49264
63.3 IPS |
|
|
Style Transfer (HP)
|
100% |
141791
182.3 IPS |
|
|
Style Transfer (Q)
|
98% |
147019
189.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9363
345.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27836
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28206
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
4037
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4448
5.94 KIPS |
|
|
Text Classification (Q)
|
92% |
2734
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3130
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5500
94.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5407
93.1 IPS |
