samsung SM-A556E
Geekbench AI Score
415
Single Precision Score
479
Half Precision Score
515
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 06 2025 07:10 AM |
| Views | 3 |
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% |
185
34.4 IPS |
|
|
Image Classification (HP)
|
100% |
212
39.4 IPS |
|
|
Image Classification (Q)
|
99% |
203
37.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
465
7.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
599
9.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
498
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
608
0.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
602
0.70 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (HP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (Q)
|
86% |
270
21.8 IPS |
|
|
Face Detection (SP)
|
100% |
906
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1115
13.3 IPS |
|
|
Face Detection (Q)
|
97% |
1032
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
710
5.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
961
7.42 IPS |
|
|
Depth Estimation (Q)
|
63% |
775
7.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1973
2.54 IPS |
|
|
Style Transfer (HP)
|
100% |
2155
2.77 IPS |
|
|
Style Transfer (Q)
|
98% |
2165
2.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
334
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
451
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
437
16.2 IPS |
|
|
Text Classification (SP)
|
100% |
128
170.2 IPS |
|
|
Text Classification (HP)
|
100% |
128
171.1 IPS |
|
|
Text Classification (Q)
|
91% |
314
422.6 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.90 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.88 IPS |
