ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA
Geekbench AI Score
2226
Single Precision Score
1166
Half Precision Score
4246
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | suswishwhoa |
| Upload Date | January 04 2025 04:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 226V |
| 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% |
1578
293.5 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.8 IPS |
|
|
Image Classification (Q)
|
99% |
3490
651.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
796
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2042
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2914
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2418
2.82 IPS |
|
|
Pose Estimation (Q)
|
94% |
10596
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (HP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (Q)
|
86% |
3444
276.8 IPS |
|
|
Face Detection (SP)
|
100% |
4375
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
1470
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
5816
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4028
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1738
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9079
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7340
9.44 IPS |
|
|
Style Transfer (HP)
|
100% |
6033
7.76 IPS |
|
|
Style Transfer (Q)
|
98% |
15138
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1543
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1315
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3091
114.5 IPS |
|
|
Text Classification (SP)
|
100% |
1111
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
626
836.1 IPS |
|
|
Text Classification (Q)
|
97% |
1338
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1738
29.9 IPS |
|
|
Machine Translation (HP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2220
44.6 IPS |
