ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA
Geekbench AI Score
2558
Single Precision Score
18720
Half Precision Score
26774
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 04:24 PM |
| Views | 1 |
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% |
1533
285.1 IPS |
|
|
Image Classification (HP)
|
100% |
11811
2.20 KIPS |
|
|
Image Classification (Q)
|
100% |
17702
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8086
131.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
11396
184.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2839
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
70233
82.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
163181
191.2 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
100% |
13565
1.08 KIPS |
|
|
Object Detection (Q)
|
87% |
18679
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
4494
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
24341
289.2 IPS |
|
|
Face Detection (Q)
|
100% |
39426
468.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3939
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
59028
454.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
94810
737.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8467
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
173194
222.6 IPS |
|
|
Style Transfer (Q)
|
98% |
259112
334.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1779
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29474
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45052
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
1853
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
2692
3.59 KIPS |
|
|
Text Classification (Q)
|
92% |
2437
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2943
50.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2895
49.9 IPS |
