ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
2587
Single Precision Score
1105
Half Precision Score
4005
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | UvarovAndrey |
| Upload Date | January 14 2025 08:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1994
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
403
75.0 IPS |
|
|
Image Classification (Q)
|
99% |
3832
714.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
1722
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3436
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2893
3.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
14471
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
1898
150.5 IPS |
|
|
Object Detection (HP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (Q)
|
86% |
3524
283.2 IPS |
|
|
Face Detection (SP)
|
100% |
5323
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
1272
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
6570
78.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5345
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1606
12.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11520
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9982
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7660
9.85 IPS |
|
|
Style Transfer (Q)
|
98% |
16694
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1963
72.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1479
54.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2825
104.6 IPS |
|
|
Text Classification (SP)
|
100% |
1209
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
573
764.7 IPS |
|
|
Text Classification (Q)
|
97% |
453
606.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1501
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (Q)
|
65% |
1953
39.3 IPS |
