ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA
Geekbench AI Score
5272
Single Precision Score
9411
Half Precision Score
3611
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gshaw1967 |
| Upload Date | February 20 2025 12:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA |
| Motherboard | ASUSTeK COMPUTER INC. S5406SA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2363
439.4 IPS |
|
|
Image Classification (HP)
|
100% |
3104
577.2 IPS |
|
|
Image Classification (Q)
|
100% |
1873
348.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5004
81.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8965
145.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3530
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15377
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
70167
81.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12970
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
3178
252.1 IPS |
|
|
Object Detection (HP)
|
100% |
4993
396.0 IPS |
|
|
Object Detection (Q)
|
88% |
2672
214.3 IPS |
|
|
Face Detection (SP)
|
100% |
7399
87.9 IPS |
|
|
Face Detection (HP)
|
100% |
12796
152.0 IPS |
|
|
Face Detection (Q)
|
97% |
5083
60.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13599
104.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25611
197.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
9527
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
39008
50.1 IPS |
|
|
Style Transfer (HP)
|
100% |
123755
159.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27895
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5797
214.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10892
402.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3542
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
624
832.4 IPS |
|
|
Text Classification (HP)
|
100% |
745
994.0 IPS |
|
|
Text Classification (Q)
|
97% |
407
544.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2023
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1700
29.3 IPS |
|
|
Machine Translation (Q)
|
70% |
845
15.8 IPS |
