ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA
Geekbench AI Score
2187
Single Precision Score
1262
Half Precision Score
5608
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | gshaw1967 |
| Upload Date | February 20 2025 12:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1253
233.1 IPS |
|
|
Image Classification (HP)
|
100% |
559
104.0 IPS |
|
|
Image Classification (Q)
|
100% |
3671
682.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3350
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2489
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
1667
1.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
9347
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (HP)
|
100% |
599
47.5 IPS |
|
|
Object Detection (Q)
|
88% |
3375
270.5 IPS |
|
|
Face Detection (SP)
|
100% |
3840
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
1773
21.1 IPS |
|
|
Face Detection (Q)
|
100% |
9457
112.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3413
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1779
13.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10439
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7361
9.46 IPS |
|
|
Style Transfer (HP)
|
100% |
4608
5.92 IPS |
|
|
Style Transfer (Q)
|
98% |
26301
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1520
56.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1051
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4869
180.3 IPS |
|
|
Text Classification (SP)
|
100% |
1508
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (Q)
|
92% |
3468
4.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1882
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1811
31.2 IPS |
