ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
2671
Single Precision Score
1385
Half Precision Score
5208
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | cj1171 |
| Upload Date | April 02 2025 01:53 AM |
| Views | 5 |
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 |
| Power Plan | Balanced |
| 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% |
1865
346.8 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.8 IPS |
|
|
Image Classification (Q)
|
99% |
4358
812.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2513
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3411
3.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2873
3.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
12399
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1838
145.8 IPS |
|
|
Object Detection (HP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (Q)
|
86% |
4269
343.1 IPS |
|
|
Face Detection (SP)
|
100% |
5309
63.1 IPS |
|
|
Face Detection (HP)
|
100% |
1712
20.3 IPS |
|
|
Face Detection (Q)
|
97% |
7081
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4764
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2059
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10640
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8579
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7163
9.21 IPS |
|
|
Style Transfer (Q)
|
98% |
17756
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1818
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1569
57.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3659
135.5 IPS |
|
|
Text Classification (SP)
|
100% |
1337
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
745
993.8 IPS |
|
|
Text Classification (Q)
|
97% |
1666
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2201
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3111
62.5 IPS |
