samsung SM-A556B
Geekbench AI Score
384
Single Precision Score
333
Half Precision Score
363
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 21 2025 09:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
182
33.8 IPS |
|
|
Image Classification (HP)
|
100% |
144
26.9 IPS |
|
|
Image Classification (Q)
|
99% |
145
27.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
457
7.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
411
6.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
403
6.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
381
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
385
0.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
376
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
86% |
169
13.6 IPS |
|
|
Face Detection (SP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
753
8.95 IPS |
|
|
Face Detection (Q)
|
97% |
730
8.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
680
5.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
580
4.48 IPS |
|
|
Depth Estimation (Q)
|
63% |
478
4.47 IPS |
|
|
Style Transfer (SP)
|
100% |
1828
2.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1340
1.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1332
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
324
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
263
9.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
262
9.72 IPS |
|
|
Text Classification (SP)
|
100% |
129
171.8 IPS |
|
|
Text Classification (HP)
|
100% |
128
170.5 IPS |
|
|
Text Classification (Q)
|
91% |
316
425.1 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (Q)
|
57% |
282
6.90 IPS |
