samsung SM-A556B
Geekbench AI Score
123
Single Precision Score
125
Half Precision Score
445
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 30 2025 09:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A556B |
| Model ID | samsung SM-A556B |
| 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 | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
92
17.1 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.2 IPS |
|
|
Image Classification (Q)
|
99% |
290
54.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
455
7.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
343
5.58 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
641
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
91
7.21 IPS |
|
|
Object Detection (HP)
|
100% |
91
7.24 IPS |
|
|
Object Detection (Q)
|
87% |
303
24.3 IPS |
|
|
Face Detection (SP)
|
100% |
266
3.16 IPS |
|
|
Face Detection (HP)
|
100% |
266
3.16 IPS |
|
|
Face Detection (Q)
|
97% |
693
8.26 IPS |
|
|
Depth Estimation (SP)
|
100% |
210
1.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
210
1.62 IPS |
|
|
Depth Estimation (Q)
|
64% |
586
5.32 IPS |
|
|
Style Transfer (SP)
|
100% |
378
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
377
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
1168
1.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
469
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
411
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
377
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
129
172.2 IPS |
|
|
Text Classification (HP)
|
100% |
129
172.1 IPS |
|
|
Text Classification (Q)
|
91% |
314
421.8 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.90 IPS |
|
|
Machine Translation (Q)
|
57% |
283
6.91 IPS |
