ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406MA_S5406MA
Geekbench AI Score
2933
Single Precision Score
1214
Half Precision Score
2251
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | paz_levi |
| Upload Date | August 28 2025 04:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
1017
189.1 IPS |
|
|
Image Classification (HP)
|
0% |
0
763.2 IPS |
|
|
Image Classification (Q)
|
100% |
934
173.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6920
112.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1263
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12978
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17006
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11321
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (HP)
|
0% |
0
342.5 IPS |
|
|
Object Detection (Q)
|
86% |
932
74.9 IPS |
|
|
Face Detection (SP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
8286
98.5 IPS |
|
|
Face Detection (Q)
|
97% |
1218
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6015
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
17969
138.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
5018
40.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36256
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
50377
64.8 IPS |
|
|
Style Transfer (Q)
|
98% |
28109
36.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6214
229.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8579
316.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4287
158.7 IPS |
|
|
Text Classification (SP)
|
86% |
803
1.09 KIPS |
|
|
Text Classification (HP)
|
99% |
578
771.2 IPS |
|
|
Text Classification (Q)
|
84% |
473
641.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1683
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1597
27.5 IPS |
|
|
Machine Translation (Q)
|
70% |
773
14.5 IPS |
