ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
10569
Single Precision Score
25832
Half Precision Score
27964
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 11:47 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% |
7229
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
14378
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
16683
3.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9265
150.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24331
394.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
29025
470.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22335
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
127873
149.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
251029
293.9 IPS |
|
|
Object Detection (SP)
|
100% |
6637
526.5 IPS |
|
|
Object Detection (HP)
|
100% |
15767
1.25 KIPS |
|
|
Object Detection (Q)
|
88% |
14410
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
13265
157.6 IPS |
|
|
Face Detection (HP)
|
100% |
28881
343.2 IPS |
|
|
Face Detection (Q)
|
100% |
35537
422.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
24297
187.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
58438
450.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
64019
497.8 IPS |
|
|
Style Transfer (SP)
|
100% |
48871
62.8 IPS |
|
|
Style Transfer (HP)
|
100% |
152581
196.1 IPS |
|
|
Style Transfer (Q)
|
98% |
156224
201.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9317
344.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27344
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28714
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3757
5.02 KIPS |
|
|
Text Classification (HP)
|
100% |
4724
6.30 KIPS |
|
|
Text Classification (Q)
|
92% |
2919
3.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3179
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5641
97.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5605
96.5 IPS |
