samsung SM-A556E
Geekbench AI Score
122
Single Precision Score
123
Half Precision Score
445
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 06 2025 07:23 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% |
91
17.0 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.1 IPS |
|
|
Image Classification (Q)
|
99% |
289
54.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
277
4.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
342
5.56 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
647
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
90
7.18 IPS |
|
|
Object Detection (HP)
|
100% |
91
7.20 IPS |
|
|
Object Detection (Q)
|
87% |
300
24.1 IPS |
|
|
Face Detection (SP)
|
100% |
262
3.11 IPS |
|
|
Face Detection (HP)
|
100% |
263
3.12 IPS |
|
|
Face Detection (Q)
|
97% |
680
8.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
206
1.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
207
1.59 IPS |
|
|
Depth Estimation (Q)
|
64% |
593
5.38 IPS |
|
|
Style Transfer (SP)
|
100% |
370
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
370
0.48 IPS |
|
|
Style Transfer (Q)
|
98% |
1187
1.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
562
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
478
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
380
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
128
171.3 IPS |
|
|
Text Classification (HP)
|
100% |
128
170.9 IPS |
|
|
Text Classification (Q)
|
91% |
315
422.8 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.90 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.88 IPS |
