ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
2494
Single Precision Score
2441
Half Precision Score
5949
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | UvarovAndrey |
| Upload Date | January 14 2025 09:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 125H |
| 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 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1486
276.3 IPS |
|
|
Image Classification (HP)
|
100% |
1483
275.8 IPS |
|
|
Image Classification (Q)
|
100% |
3839
714.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4054
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3066
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2712
3.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
9619
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (HP)
|
100% |
1303
103.3 IPS |
|
|
Object Detection (Q)
|
88% |
3600
288.6 IPS |
|
|
Face Detection (SP)
|
100% |
4080
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
4300
51.1 IPS |
|
|
Face Detection (Q)
|
100% |
8833
105.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3526
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3525
27.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
10722
83.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8909
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9352
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29453
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1727
63.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6265
232.0 IPS |
|
|
Text Classification (SP)
|
100% |
1573
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
1480
1.97 KIPS |
|
|
Text Classification (Q)
|
92% |
2810
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2221
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2013
34.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2099
36.2 IPS |
