Samsung SM-A526U samsung SM-A526U
Geekbench AI Score
539
Single Precision Score
532
Half Precision Score
1008
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paultissue |
| Upload Date | September 03 2025 10:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM Qualcomm |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A526U |
| Model ID | samsung SM-A526U |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (Q)
|
100% |
691
128.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
295
4.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
295
4.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
770
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1195
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1178
1.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
1726
2.05 IPS |
|
|
Object Detection (SP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
83% |
665
53.7 IPS |
|
|
Face Detection (SP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (HP)
|
100% |
760
9.03 IPS |
|
|
Face Detection (Q)
|
95% |
1597
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1000
7.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
911
7.02 IPS |
|
|
Depth Estimation (Q)
|
64% |
1587
14.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1979
2.57 IPS |
|
|
Style Transfer (HP)
|
89% |
1992
2.59 IPS |
|
|
Style Transfer (Q)
|
98% |
4058
5.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
982
36.4 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.5 IPS |
|
|
Text Classification (HP)
|
100% |
268
357.7 IPS |
|
|
Text Classification (Q)
|
88% |
527
710.3 IPS |
|
|
Machine Translation (SP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (Q)
|
50% |
335
11.9 IPS |
