samsung SM-A556E
Geekbench AI Score
121
Single Precision Score
122
Half Precision Score
447
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | funskeen |
| Upload Date | February 17 2025 09:23 PM |
| Views | 13 |
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% |
92
17.1 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.1 IPS |
|
|
Image Classification (Q)
|
99% |
290
54.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
325
5.27 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% |
91
7.18 IPS |
|
|
Object Detection (HP)
|
100% |
91
7.21 IPS |
|
|
Object Detection (Q)
|
87% |
302
24.2 IPS |
|
|
Face Detection (SP)
|
100% |
264
3.13 IPS |
|
|
Face Detection (HP)
|
100% |
265
3.15 IPS |
|
|
Face Detection (Q)
|
97% |
686
8.18 IPS |
|
|
Depth Estimation (SP)
|
100% |
207
1.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
208
1.60 IPS |
|
|
Depth Estimation (Q)
|
64% |
597
5.42 IPS |
|
|
Style Transfer (SP)
|
100% |
373
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
372
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
1195
1.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
557
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
473
17.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
382
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
128
171.4 IPS |
|
|
Text Classification (HP)
|
100% |
129
172.3 IPS |
|
|
Text Classification (Q)
|
91% |
316
424.6 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (Q)
|
57% |
282
6.90 IPS |
