ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
2557
Single Precision Score
1323
Half Precision Score
5014
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 02:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1880
349.6 IPS |
|
|
Image Classification (HP)
|
100% |
561
104.3 IPS |
|
|
Image Classification (Q)
|
99% |
4210
785.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2500
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3264
3.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2781
3.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
12044
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1710
135.6 IPS |
|
|
Object Detection (HP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (Q)
|
86% |
3995
321.1 IPS |
|
|
Face Detection (SP)
|
100% |
5097
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
1647
19.6 IPS |
|
|
Face Detection (Q)
|
97% |
6973
83.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4508
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1884
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10169
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7755
9.97 IPS |
|
|
Style Transfer (HP)
|
100% |
6520
8.38 IPS |
|
|
Style Transfer (Q)
|
98% |
17086
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1770
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3518
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
1284
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
695
927.0 IPS |
|
|
Text Classification (Q)
|
97% |
1620
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2069
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2874
57.7 IPS |
