ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA
Geekbench AI Score
2435
Single Precision Score
1038
Half Precision Score
3343
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Glebshir |
| Upload Date | October 01 2024 10:25 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA |
| Motherboard | ASUSTeK COMPUTER INC. S5606MA |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1685
313.4 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.8 IPS |
|
|
Image Classification (Q)
|
99% |
2933
547.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2204
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4353
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2538
2.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
15884
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
100% |
442
35.0 IPS |
|
|
Object Detection (Q)
|
88% |
1413
113.3 IPS |
|
|
Face Detection (SP)
|
100% |
2778
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
1134
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
3692
44.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5236
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1523
11.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
7029
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10950
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8014
10.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17830
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1992
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3053
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
1174
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
535
713.8 IPS |
|
|
Text Classification (Q)
|
97% |
482
646.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1562
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
60% |
1769
39.5 IPS |
