ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
10622
Single Precision Score
25619
Half Precision Score
27669
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 11:26 AM |
| Views | 3 |
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% |
7249
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
14190
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
16539
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9569
155.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22925
371.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
27784
450.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21625
25.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
128761
150.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
248027
290.4 IPS |
|
|
Object Detection (SP)
|
100% |
6507
516.1 IPS |
|
|
Object Detection (HP)
|
100% |
15571
1.24 KIPS |
|
|
Object Detection (Q)
|
88% |
15028
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
13371
158.9 IPS |
|
|
Face Detection (HP)
|
100% |
29188
346.8 IPS |
|
|
Face Detection (Q)
|
100% |
35226
418.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
23692
182.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
57885
446.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
64397
500.8 IPS |
|
|
Style Transfer (SP)
|
100% |
48941
62.9 IPS |
|
|
Style Transfer (HP)
|
100% |
149380
192.0 IPS |
|
|
Style Transfer (Q)
|
98% |
155598
200.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9295
343.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27937
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27303
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
4088
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4710
6.29 KIPS |
|
|
Text Classification (Q)
|
92% |
2836
3.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3180
54.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5625
96.9 IPS |
|
|
Machine Translation (Q)
|
100% |
5620
96.8 IPS |
