samsung SM-A556E
Geekbench AI Score
116
Single Precision Score
116
Half Precision Score
417
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | February 24 2025 09:34 AM |
| Views | 10 |
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 | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
89
16.6 IPS |
|
|
Image Classification (HP)
|
100% |
84
15.5 IPS |
|
|
Image Classification (Q)
|
99% |
266
49.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
258
4.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
334
5.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
343
5.58 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
652
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
90
7.17 IPS |
|
|
Object Detection (HP)
|
100% |
91
7.19 IPS |
|
|
Object Detection (Q)
|
87% |
302
24.2 IPS |
|
|
Face Detection (SP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (HP)
|
100% |
265
3.15 IPS |
|
|
Face Detection (Q)
|
97% |
688
8.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
206
1.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
206
1.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
575
5.22 IPS |
|
|
Style Transfer (SP)
|
100% |
335
0.43 IPS |
|
|
Style Transfer (HP)
|
100% |
325
0.42 IPS |
|
|
Style Transfer (Q)
|
98% |
1018
1.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
547
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
434
16.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
319
11.8 IPS |
|
|
Text Classification (SP)
|
100% |
110
146.5 IPS |
|
|
Text Classification (HP)
|
100% |
112
149.0 IPS |
|
|
Text Classification (Q)
|
91% |
276
370.9 IPS |
|
|
Machine Translation (SP)
|
100% |
202
3.48 IPS |
|
|
Machine Translation (HP)
|
100% |
201
3.46 IPS |
|
|
Machine Translation (Q)
|
57% |
251
6.12 IPS |
