ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406MA_S5406MA
Geekbench AI Score
8445
Single Precision Score
13182
Half Precision Score
19150
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paz_levi |
| Upload Date | August 28 2025 04:50 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406MA_S5406MA |
| Motherboard | ASUSTeK COMPUTER INC. S5406MA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6053
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
8082
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
9085
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5275
85.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12945
209.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
17390
281.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22329
26.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
19062
22.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
66345
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
5708
452.7 IPS |
|
|
Object Detection (HP)
|
100% |
9067
719.2 IPS |
|
|
Object Detection (Q)
|
88% |
13263
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
10505
124.8 IPS |
|
|
Face Detection (HP)
|
100% |
21086
250.6 IPS |
|
|
Face Detection (Q)
|
100% |
33225
394.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19715
151.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
34892
269.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
38738
301.1 IPS |
|
|
Style Transfer (SP)
|
100% |
53749
69.1 IPS |
|
|
Style Transfer (HP)
|
100% |
70632
90.8 IPS |
|
|
Style Transfer (Q)
|
98% |
159387
205.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9343
345.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16069
593.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21666
802.4 IPS |
|
|
Text Classification (SP)
|
71% |
1694
2.45 KIPS |
|
|
Text Classification (HP)
|
71% |
2683
3.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2697
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2574
44.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3913
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3981
68.8 IPS |
