ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
10638
Single Precision Score
25865
Half Precision Score
27769
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 22 2025 08:13 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% |
7244
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
14214
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
17092
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9440
153.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24268
393.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
29074
471.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22194
25.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
127209
148.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
248477
290.9 IPS |
|
|
Object Detection (SP)
|
100% |
6638
526.5 IPS |
|
|
Object Detection (HP)
|
100% |
15789
1.25 KIPS |
|
|
Object Detection (Q)
|
88% |
14515
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
13560
161.1 IPS |
|
|
Face Detection (HP)
|
100% |
29024
344.9 IPS |
|
|
Face Detection (Q)
|
100% |
35440
421.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24321
187.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
56800
437.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
64136
498.7 IPS |
|
|
Style Transfer (SP)
|
100% |
49616
63.8 IPS |
|
|
Style Transfer (HP)
|
100% |
152213
195.7 IPS |
|
|
Style Transfer (Q)
|
98% |
152744
197.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9214
340.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28612
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27914
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3906
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4772
6.37 KIPS |
|
|
Text Classification (Q)
|
92% |
2791
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5646
97.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5625
96.9 IPS |
