ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
10717
Single Precision Score
25919
Half Precision Score
28123
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 11:49 AM |
| Views | 6 |
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% |
7287
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
14306
2.66 KIPS |
|
|
Image Classification (Q)
|
100% |
16925
3.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9451
153.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24162
391.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
29184
473.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22267
26.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
128615
150.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
249152
291.7 IPS |
|
|
Object Detection (SP)
|
100% |
6642
526.9 IPS |
|
|
Object Detection (HP)
|
100% |
15410
1.22 KIPS |
|
|
Object Detection (Q)
|
88% |
14617
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
13627
161.9 IPS |
|
|
Face Detection (HP)
|
100% |
29053
345.2 IPS |
|
|
Face Detection (Q)
|
100% |
35275
419.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
23836
183.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58259
448.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
64826
504.1 IPS |
|
|
Style Transfer (SP)
|
100% |
49044
63.0 IPS |
|
|
Style Transfer (HP)
|
100% |
149910
192.7 IPS |
|
|
Style Transfer (Q)
|
98% |
155149
200.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9262
342.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28724
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28816
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
4151
5.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4877
6.51 KIPS |
|
|
Text Classification (Q)
|
92% |
3009
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3204
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5620
96.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5594
96.4 IPS |
