samsung SM-A556E
Geekbench AI Score
419
Single Precision Score
738
Half Precision Score
556
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 17 2025 01:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A556E |
| Model ID | samsung SM-A556E |
| Motherboard | s5e8845 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 2.05 GHz |
| Cluster 1 | 4 Cores @ 2.05 GHz |
| Cluster 2 | 4 Cores @ 2.75 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
208
38.7 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.4 IPS |
|
|
Image Classification (Q)
|
100% |
317
58.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
738
12.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1798
2.10 IPS |
|
|
Pose Estimation (HP)
|
99% |
4380
5.11 IPS |
|
|
Pose Estimation (Q)
|
95% |
4300
5.04 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (HP)
|
99% |
308
24.4 IPS |
|
|
Object Detection (Q)
|
85% |
305
24.5 IPS |
|
|
Face Detection (SP)
|
100% |
1051
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
2031
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
1323
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1186
9.14 IPS |
|
|
Depth Estimation (HP)
|
98% |
2498
19.3 IPS |
|
|
Depth Estimation (Q)
|
61% |
1728
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3412
4.39 IPS |
|
|
Style Transfer (HP)
|
100% |
6151
7.91 IPS |
|
|
Style Transfer (Q)
|
98% |
6152
7.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
632
23.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
822
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
592
21.9 IPS |
|
|
Text Classification (SP)
|
35% |
12
111.1 IPS |
|
|
Text Classification (HP)
|
35% |
23
209.7 IPS |
|
|
Text Classification (Q)
|
33% |
15
177.8 IPS |
|
|
Machine Translation (SP)
|
100% |
167
2.88 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.04 IPS |
|
|
Machine Translation (Q)
|
48% |
75
2.89 IPS |
