samsung SM-A556B
Geekbench AI Score
119
Single Precision Score
123
Half Precision Score
441
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | supergordon |
| Upload Date | November 14 2025 10:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
91
16.9 IPS |
|
|
Image Classification (HP)
|
100% |
91
16.9 IPS |
|
|
Image Classification (Q)
|
99% |
288
53.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
428
6.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
341
5.54 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
650
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
90
7.14 IPS |
|
|
Object Detection (HP)
|
100% |
90
7.15 IPS |
|
|
Object Detection (Q)
|
87% |
301
24.1 IPS |
|
|
Face Detection (SP)
|
100% |
260
3.09 IPS |
|
|
Face Detection (HP)
|
100% |
262
3.11 IPS |
|
|
Face Detection (Q)
|
97% |
687
8.19 IPS |
|
|
Depth Estimation (SP)
|
100% |
205
1.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
205
1.58 IPS |
|
|
Depth Estimation (Q)
|
64% |
574
5.21 IPS |
|
|
Style Transfer (SP)
|
100% |
368
0.47 IPS |
|
|
Style Transfer (HP)
|
100% |
368
0.47 IPS |
|
|
Style Transfer (Q)
|
98% |
1152
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
440
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
407
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
369
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
126
168.1 IPS |
|
|
Text Classification (HP)
|
100% |
127
168.9 IPS |
|
|
Text Classification (Q)
|
91% |
313
420.1 IPS |
|
|
Machine Translation (SP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (HP)
|
100% |
222
3.83 IPS |
|
|
Machine Translation (Q)
|
57% |
276
6.74 IPS |
