ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606CA_S5606CA
Geekbench AI Score
3872
Single Precision Score
3273
Half Precision Score
8685
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ChrissoChrisso |
| Upload Date | June 02 2025 01:57 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| 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 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2475
460.2 IPS |
|
|
Image Classification (HP)
|
100% |
1923
357.7 IPS |
|
|
Image Classification (Q)
|
100% |
6593
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3278
53.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1667
27.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6291
102.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5727
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
5242
6.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
20400
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
1912
151.6 IPS |
|
|
Object Detection (HP)
|
100% |
1775
140.8 IPS |
|
|
Object Detection (Q)
|
88% |
5094
408.3 IPS |
|
|
Face Detection (SP)
|
100% |
5647
67.1 IPS |
|
|
Face Detection (HP)
|
100% |
5829
69.3 IPS |
|
|
Face Detection (Q)
|
100% |
11287
134.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5362
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4808
37.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
13117
102.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15781
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12602
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
45104
58.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2807
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2371
87.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8707
322.4 IPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
3671
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2636
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2655
45.7 IPS |
