ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA
Geekbench AI Score
2215
Single Precision Score
6885
Half Precision Score
9104
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dad |
| Upload Date | October 13 2024 11:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 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% |
1186
220.6 IPS |
|
|
Image Classification (HP)
|
100% |
3905
726.3 IPS |
|
|
Image Classification (Q)
|
56% |
3001
839.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2275
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3113
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3993
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
27785
32.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
59398
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
100% |
3952
313.4 IPS |
|
|
Object Detection (Q)
|
87% |
5880
471.9 IPS |
|
|
Face Detection (SP)
|
100% |
3656
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
11656
138.5 IPS |
|
|
Face Detection (Q)
|
100% |
17894
212.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3345
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15332
118.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
28991
225.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11685
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
44015
56.6 IPS |
|
|
Style Transfer (Q)
|
98% |
77830
100.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1735
64.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11001
406.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15908
589.1 IPS |
|
|
Text Classification (SP)
|
100% |
537
716.4 IPS |
|
|
Text Classification (HP)
|
100% |
1228
1.64 KIPS |
|
|
Text Classification (Q)
|
92% |
845
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1997
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2210
38.1 IPS |
