ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_Q423SA
Geekbench AI Score
6392
Single Precision Score
12671
Half Precision Score
4585
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 04:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) |
| 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% |
3240
602.6 IPS |
|
|
Image Classification (HP)
|
100% |
3623
673.9 IPS |
|
|
Image Classification (Q)
|
100% |
2289
425.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5480
88.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10968
177.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4085
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17544
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
81769
95.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14944
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
4273
338.9 IPS |
|
|
Object Detection (HP)
|
100% |
8415
667.5 IPS |
|
|
Object Detection (Q)
|
88% |
3292
264.0 IPS |
|
|
Face Detection (SP)
|
100% |
8192
97.3 IPS |
|
|
Face Detection (HP)
|
100% |
15204
180.7 IPS |
|
|
Face Detection (Q)
|
97% |
6293
75.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16987
130.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33333
256.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
11476
91.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42501
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
155687
200.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32182
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4150
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12802
472.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4442
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
1167
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1475
1.97 KIPS |
|
|
Text Classification (Q)
|
97% |
743
996.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2987
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2619
45.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1165
21.8 IPS |
