ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
9058
Single Precision Score
24773
Half Precision Score
28350
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 09:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA |
| Motherboard | ASUSTeK COMPUTER INC. S5406SA |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6982
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
15073
2.80 KIPS |
|
|
Image Classification (Q)
|
100% |
18000
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7379
119.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14254
231.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16303
264.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22444
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
127632
148.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
244580
286.3 IPS |
|
|
Object Detection (SP)
|
100% |
5966
473.2 IPS |
|
|
Object Detection (HP)
|
100% |
15181
1.20 KIPS |
|
|
Object Detection (Q)
|
88% |
16112
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
13024
154.8 IPS |
|
|
Face Detection (HP)
|
100% |
28223
335.4 IPS |
|
|
Face Detection (Q)
|
100% |
36437
432.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21735
167.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
57886
446.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
68875
535.6 IPS |
|
|
Style Transfer (SP)
|
100% |
50538
65.0 IPS |
|
|
Style Transfer (HP)
|
100% |
147371
189.4 IPS |
|
|
Style Transfer (Q)
|
98% |
173604
223.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9419
347.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28770
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34811
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3149
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5263
7.02 KIPS |
|
|
Text Classification (Q)
|
92% |
3276
4.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5737
98.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5838
100.6 IPS |
