ASUSTeK COMPUTER INC. ASUS Vivobook S 16 S5606MA_S5606MA
Geekbench AI Score
2359
Single Precision Score
2413
Half Precision Score
6323
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Glebshir |
| Upload Date | October 01 2024 10:29 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1749
325.3 IPS |
|
|
Image Classification (HP)
|
100% |
1746
324.6 IPS |
|
|
Image Classification (Q)
|
100% |
4571
850.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4434
71.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3209
3.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2770
3.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
9719
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1219
96.7 IPS |
|
|
Object Detection (HP)
|
100% |
1283
101.8 IPS |
|
|
Object Detection (Q)
|
88% |
3606
289.0 IPS |
|
|
Face Detection (SP)
|
100% |
3795
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
4190
49.8 IPS |
|
|
Face Detection (Q)
|
100% |
9941
118.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3619
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3672
28.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
10953
85.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9265
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9383
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32206
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1843
68.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6992
258.9 IPS |
|
|
Text Classification (SP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
92% |
2859
3.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2076
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2027
34.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2054
35.4 IPS |
