ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
3004
Single Precision Score
1209
Half Precision Score
5400
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JohnnieBG |
| Upload Date | May 09 2025 07:49 PM |
| Views | 8 |
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% |
2551
474.5 IPS |
|
|
Image Classification (HP)
|
100% |
500
93.1 IPS |
|
|
Image Classification (Q)
|
99% |
5073
946.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
779
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3050
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4771
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3760
4.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
18345
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2160
171.3 IPS |
|
|
Object Detection (HP)
|
100% |
514
40.7 IPS |
|
|
Object Detection (Q)
|
86% |
4987
400.8 IPS |
|
|
Face Detection (SP)
|
100% |
6034
71.7 IPS |
|
|
Face Detection (HP)
|
100% |
1240
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
6968
83.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6356
49.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1625
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
12015
95.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11228
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8052
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16459
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2153
79.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1573
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3104
115.0 IPS |
|
|
Text Classification (SP)
|
100% |
1303
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
633
845.3 IPS |
|
|
Text Classification (Q)
|
97% |
1258
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1415
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (Q)
|
65% |
2772
55.7 IPS |
