ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606CA_S5606CA
Geekbench AI Score
2550
Single Precision Score
1230
Half Precision Score
4810
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 16 2025 06:06 AM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 225H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606CA_S5606CA |
| Motherboard | ASUSTeK COMPUTER INC. S5606CA |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 225H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2051
381.5 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.3 IPS |
|
|
Image Classification (Q)
|
99% |
5073
946.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
783
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2219
36.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4886
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3869
4.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
10416
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1764
139.9 IPS |
|
|
Object Detection (HP)
|
100% |
558
44.3 IPS |
|
|
Object Detection (Q)
|
86% |
4170
335.1 IPS |
|
|
Face Detection (SP)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
1252
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
6706
80.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4866
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1448
11.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
10811
86.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7707
9.91 IPS |
|
|
Style Transfer (HP)
|
100% |
9306
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17300
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1684
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1458
53.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2688
99.5 IPS |
|
|
Text Classification (SP)
|
100% |
1206
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
605
807.6 IPS |
|
|
Text Classification (Q)
|
97% |
1459
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2760
55.5 IPS |
