ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
2390
Single Precision Score
2316
Half Precision Score
5096
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 07:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 228V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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 5 228V |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1656
307.9 IPS |
|
|
Image Classification (HP)
|
100% |
1671
310.8 IPS |
|
|
Image Classification (Q)
|
100% |
4249
790.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1080
17.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3450
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2903
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2892
3.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
11095
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (Q)
|
88% |
4323
346.5 IPS |
|
|
Face Detection (SP)
|
100% |
3723
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
2817
33.5 IPS |
|
|
Face Detection (Q)
|
100% |
6580
78.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4109
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4012
30.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
6888
53.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8576
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8699
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
19200
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1829
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1810
66.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3821
141.5 IPS |
|
|
Text Classification (SP)
|
100% |
1613
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1570
2.10 KIPS |
|
|
Text Classification (Q)
|
92% |
3004
4.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1972
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1974
34.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1685
29.0 IPS |
