samsung SM-A556B
Geekbench AI Score
121
Single Precision Score
122
Half Precision Score
442
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 26 2025 10:32 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
91
16.9 IPS |
|
|
Image Classification (HP)
|
100% |
91
17.0 IPS |
|
|
Image Classification (Q)
|
99% |
288
53.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
266
4.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
333
5.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
342
5.56 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
648
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
90
7.15 IPS |
|
|
Object Detection (HP)
|
100% |
90
7.16 IPS |
|
|
Object Detection (Q)
|
87% |
301
24.1 IPS |
|
|
Face Detection (SP)
|
100% |
262
3.12 IPS |
|
|
Face Detection (HP)
|
100% |
263
3.12 IPS |
|
|
Face Detection (Q)
|
97% |
686
8.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
205
1.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
206
1.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
573
5.20 IPS |
|
|
Style Transfer (SP)
|
100% |
370
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
368
0.47 IPS |
|
|
Style Transfer (Q)
|
98% |
1159
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
373
13.8 IPS |
|
|
Text Classification (SP)
|
100% |
129
171.5 IPS |
|
|
Text Classification (HP)
|
100% |
129
171.6 IPS |
|
|
Text Classification (Q)
|
91% |
315
423.5 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.88 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.87 IPS |
