ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA
Geekbench AI Score
2649
Single Precision Score
1532
Half Precision Score
6781
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | oiler1729 |
| Upload Date | December 10 2024 02:44 AM |
| Views | 1 |
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% |
1688
313.8 IPS |
|
|
Image Classification (HP)
|
100% |
699
130.0 IPS |
|
|
Image Classification (Q)
|
100% |
4318
803.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
884
14.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4047
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2922
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
1932
2.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
11214
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1578
125.2 IPS |
|
|
Object Detection (HP)
|
100% |
782
62.0 IPS |
|
|
Object Detection (Q)
|
88% |
4479
359.0 IPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
2108
25.1 IPS |
|
|
Face Detection (Q)
|
100% |
11634
138.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4110
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2251
17.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
12166
94.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8840
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
5679
7.30 IPS |
|
|
Style Transfer (Q)
|
98% |
31836
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1817
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1255
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6433
238.3 IPS |
|
|
Text Classification (SP)
|
100% |
1890
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1249
1.67 KIPS |
|
|
Text Classification (Q)
|
92% |
3890
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2080
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1807
31.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2078
35.8 IPS |
