ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA
Geekbench AI Score
2675
Single Precision Score
664
Half Precision Score
3582
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | abhimanbhau |
| Upload Date | August 30 2024 09:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1671
310.7 IPS |
|
|
Image Classification (HP)
|
100% |
132
24.6 IPS |
|
|
Image Classification (Q)
|
99% |
3122
582.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1334
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
237
3.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
2270
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5191
6.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3031
3.54 IPS |
|
|
Pose Estimation (Q)
|
95% |
18839
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1792
142.1 IPS |
|
|
Object Detection (HP)
|
100% |
192
15.2 IPS |
|
|
Object Detection (Q)
|
88% |
1627
130.4 IPS |
|
|
Face Detection (SP)
|
100% |
3071
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (Q)
|
97% |
3502
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6174
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
880
6.78 IPS |
|
|
Depth Estimation (Q)
|
76% |
7411
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8736
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9223
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18511
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2375
87.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3607
133.6 IPS |
|
|
Text Classification (SP)
|
100% |
1347
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
452
603.4 IPS |
|
|
Text Classification (Q)
|
97% |
472
631.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (HP)
|
100% |
571
9.84 IPS |
|
|
Machine Translation (Q)
|
60% |
1962
43.8 IPS |
