ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA
Geekbench AI Score
1966
Single Precision Score
1941
Half Precision Score
4860
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | dad |
| Upload Date | October 13 2024 11:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| 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% |
1077
200.2 IPS |
|
|
Image Classification (HP)
|
100% |
1064
197.9 IPS |
|
|
Image Classification (Q)
|
100% |
4068
756.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2790
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4047
4.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4017
4.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
11980
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
909
72.1 IPS |
|
|
Object Detection (HP)
|
100% |
1148
91.1 IPS |
|
|
Object Detection (Q)
|
88% |
2013
161.4 IPS |
|
|
Face Detection (SP)
|
100% |
2377
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2418
28.7 IPS |
|
|
Face Detection (Q)
|
100% |
4048
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3215
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3226
24.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
8952
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10867
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10293
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30248
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1726
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1149
42.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4700
174.0 IPS |
|
|
Text Classification (SP)
|
100% |
499
665.8 IPS |
|
|
Text Classification (HP)
|
100% |
512
683.6 IPS |
|
|
Text Classification (Q)
|
92% |
2680
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1697
29.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1823
31.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1947
33.5 IPS |
