ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
2777
Single Precision Score
1162
Half Precision Score
5497
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JohnnieBG |
| Upload Date | May 11 2025 07:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
2445
454.7 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.3 IPS |
|
|
Image Classification (Q)
|
99% |
5328
993.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2817
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4725
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
3328
3.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
17590
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
2136
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
539
42.7 IPS |
|
|
Object Detection (Q)
|
86% |
5064
407.0 IPS |
|
|
Face Detection (SP)
|
100% |
3639
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
1087
12.9 IPS |
|
|
Face Detection (Q)
|
97% |
7075
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6180
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1572
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12264
97.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11483
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7970
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17009
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1932
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1504
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3202
118.6 IPS |
|
|
Text Classification (SP)
|
100% |
1267
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
596
795.2 IPS |
|
|
Text Classification (Q)
|
97% |
1457
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (Q)
|
65% |
2737
55.0 IPS |
