ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
2583
Single Precision Score
1317
Half Precision Score
5011
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 15 2025 05:43 AM |
| Views | 3 |
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% |
1896
352.7 IPS |
|
|
Image Classification (HP)
|
100% |
559
103.9 IPS |
|
|
Image Classification (Q)
|
99% |
4224
787.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
910
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2473
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3297
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2730
3.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
12185
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1805
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (Q)
|
86% |
4274
343.5 IPS |
|
|
Face Detection (SP)
|
100% |
5230
62.1 IPS |
|
|
Face Detection (HP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
6938
82.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4561
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1912
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10160
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8143
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6513
8.37 IPS |
|
|
Style Transfer (Q)
|
98% |
16972
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1695
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1439
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3437
127.3 IPS |
|
|
Text Classification (SP)
|
100% |
1278
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
696
929.5 IPS |
|
|
Text Classification (Q)
|
97% |
1560
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2032
35.0 IPS |
|
|
Machine Translation (HP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2864
57.5 IPS |
