samsung SM-A556E
Geekbench AI Score
411
Single Precision Score
487
Half Precision Score
505
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 11:18 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
295
54.8 IPS |
|
|
Image Classification (HP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (Q)
|
99% |
239
44.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
607
9.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
467
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
615
0.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
609
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (Q)
|
86% |
276
22.2 IPS |
|
|
Face Detection (SP)
|
100% |
921
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1129
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
1056
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
692
5.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
969
7.49 IPS |
|
|
Depth Estimation (Q)
|
63% |
777
7.27 IPS |
|
|
Style Transfer (SP)
|
100% |
1990
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
2169
2.79 IPS |
|
|
Style Transfer (Q)
|
98% |
2145
2.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
340
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
438
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
106
140.9 IPS |
|
|
Text Classification (HP)
|
100% |
105
140.1 IPS |
|
|
Text Classification (Q)
|
91% |
251
337.9 IPS |
|
|
Machine Translation (SP)
|
100% |
188
3.23 IPS |
|
|
Machine Translation (HP)
|
100% |
188
3.24 IPS |
|
|
Machine Translation (Q)
|
57% |
231
5.66 IPS |
