ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA
Geekbench AI Score
1932
Single Precision Score
2067
Half Precision Score
4728
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 10:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA |
| Motherboard | ASUSTeK COMPUTER INC. S5606MA |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
835
155.3 IPS |
|
|
Image Classification (HP)
|
100% |
674
125.4 IPS |
|
|
Image Classification (Q)
|
100% |
1453
270.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
880
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3987
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3915
4.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3050
3.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
8087
9.47 IPS |
|
|
Object Detection (SP)
|
100% |
1126
89.3 IPS |
|
|
Object Detection (HP)
|
100% |
1125
89.2 IPS |
|
|
Object Detection (Q)
|
88% |
2585
207.2 IPS |
|
|
Face Detection (SP)
|
100% |
3508
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
3475
41.3 IPS |
|
|
Face Detection (Q)
|
100% |
9541
113.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4559
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4510
34.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
10559
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10118
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10815
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
36540
47.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2131
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4294
159.0 IPS |
|
|
Text Classification (SP)
|
100% |
578
771.3 IPS |
|
|
Text Classification (HP)
|
100% |
547
730.2 IPS |
|
|
Text Classification (Q)
|
92% |
1401
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1128
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2085
35.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2085
35.9 IPS |
