samsung SM-A556E
Geekbench AI Score
110
Single Precision Score
109
Half Precision Score
372
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 11:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (HP)
|
100% |
82
15.2 IPS |
|
|
Image Classification (Q)
|
99% |
256
47.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
353
5.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
301
4.89 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
575
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
80
6.35 IPS |
|
|
Object Detection (HP)
|
100% |
74
5.89 IPS |
|
|
Object Detection (Q)
|
87% |
246
19.7 IPS |
|
|
Face Detection (SP)
|
100% |
223
2.65 IPS |
|
|
Face Detection (HP)
|
100% |
224
2.66 IPS |
|
|
Face Detection (Q)
|
97% |
569
6.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
172
1.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
172
1.33 IPS |
|
|
Depth Estimation (Q)
|
64% |
478
4.34 IPS |
|
|
Style Transfer (SP)
|
100% |
311
0.40 IPS |
|
|
Style Transfer (HP)
|
100% |
311
0.40 IPS |
|
|
Style Transfer (Q)
|
98% |
985
1.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
604
22.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
304
11.3 IPS |
|
|
Text Classification (SP)
|
100% |
105
140.6 IPS |
|
|
Text Classification (HP)
|
100% |
105
140.0 IPS |
|
|
Text Classification (Q)
|
91% |
252
338.5 IPS |
|
|
Machine Translation (SP)
|
100% |
188
3.24 IPS |
|
|
Machine Translation (HP)
|
100% |
189
3.25 IPS |
|
|
Machine Translation (Q)
|
57% |
232
5.66 IPS |
