ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA
Geekbench AI Score
2619
Single Precision Score
18263
Half Precision Score
25237
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | oiler1729 |
| Upload Date | December 10 2024 02:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1612
299.9 IPS |
|
|
Image Classification (HP)
|
100% |
10833
2.01 KIPS |
|
|
Image Classification (Q)
|
100% |
15383
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1781
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9371
151.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10820
175.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2935
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
68817
80.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
156277
183.1 IPS |
|
|
Object Detection (SP)
|
100% |
1592
126.3 IPS |
|
|
Object Detection (HP)
|
100% |
13000
1.03 KIPS |
|
|
Object Detection (Q)
|
87% |
17324
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
4756
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
22807
271.0 IPS |
|
|
Face Detection (Q)
|
100% |
33648
399.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4064
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
57902
446.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
91207
709.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8724
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
170116
218.7 IPS |
|
|
Style Transfer (Q)
|
98% |
273233
352.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1684
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27007
997.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
43591
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
1844
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2540
3.39 KIPS |
|
|
Text Classification (Q)
|
92% |
2200
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2950
50.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2893
49.8 IPS |
