ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
2647
Single Precision Score
2849
Half Precision Score
6696
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JohnnieBG |
| Upload Date | June 13 2025 03:50 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA |
| Motherboard | ASUSTeK COMPUTER INC. S5506MA |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1499
278.8 IPS |
|
|
Image Classification (HP)
|
100% |
1432
266.3 IPS |
|
|
Image Classification (Q)
|
100% |
4674
869.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1938
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2487
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4838
78.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3935
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
4189
4.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
13743
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
100% |
1625
128.9 IPS |
|
|
Object Detection (Q)
|
88% |
4592
368.1 IPS |
|
|
Face Detection (SP)
|
100% |
3505
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
4322
51.3 IPS |
|
|
Face Detection (Q)
|
100% |
9750
115.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3721
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4391
33.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11306
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11492
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10071
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28747
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1804
66.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2046
75.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6883
254.9 IPS |
|
|
Text Classification (SP)
|
100% |
1836
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1958
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
3350
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1883
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1740
30.0 IPS |
