ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA
Geekbench AI Score
3013
Single Precision Score
25866
Half Precision Score
39839
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 05:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 14 S5406SA_S5406SA |
| Motherboard | ASUSTeK COMPUTER INC. S5406SA |
| Power Plan | Balanced |
| 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% |
1809
336.4 IPS |
|
|
Image Classification (HP)
|
100% |
13079
2.43 KIPS |
|
|
Image Classification (Q)
|
100% |
19381
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19179
310.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31523
511.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3282
3.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
111133
129.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
222421
260.5 IPS |
|
|
Object Detection (SP)
|
100% |
1701
134.9 IPS |
|
|
Object Detection (HP)
|
100% |
16972
1.35 KIPS |
|
|
Object Detection (Q)
|
87% |
24622
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
5326
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
40672
483.3 IPS |
|
|
Face Detection (Q)
|
100% |
83015
986.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4407
34.0 IPS |
|
|
Depth Estimation (HP)
|
93% |
73330
568.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
143414
1.12 KIPS |
|
|
Style Transfer (SP)
|
100% |
8916
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
216843
278.8 IPS |
|
|
Style Transfer (Q)
|
98% |
383951
495.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1971
72.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35987
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60652
2.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2555
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3358
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4188
72.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4250
73.2 IPS |
