samsung SM-A556E
Geekbench AI Score
122
Single Precision Score
122
Half Precision Score
445
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | September 01 2024 07:40 PM |
| Views | 4 |
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% |
91
17.0 IPS |
|
|
Image Classification (HP)
|
100% |
92
17.1 IPS |
|
|
Image Classification (Q)
|
97% |
293
54.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
274
4.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
343
5.58 IPS |
|
|
Pose Estimation (SP)
|
0
|
||
|
Pose Estimation (HP)
|
0
|
||
|
Pose Estimation (Q)
|
98% |
643
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
90
7.16 IPS |
|
|
Object Detection (HP)
|
100% |
91
7.19 IPS |
|
|
Object Detection (Q)
|
89% |
306
24.5 IPS |
|
|
Face Detection (SP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (HP)
|
100% |
265
3.15 IPS |
|
|
Face Detection (Q)
|
97% |
696
8.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
209
1.61 IPS |
|
|
Depth Estimation (HP)
|
100% |
210
1.62 IPS |
|
|
Depth Estimation (Q)
|
73% |
651
5.32 IPS |
|
|
Style Transfer (SP)
|
100% |
373
0.48 IPS |
|
|
Style Transfer (HP)
|
100% |
360
0.46 IPS |
|
|
Style Transfer (Q)
|
98% |
1113
1.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
478
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
359
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
126
168.3 IPS |
|
|
Text Classification (HP)
|
100% |
126
168.2 IPS |
|
|
Text Classification (Q)
|
91% |
317
425.7 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (HP)
|
100% |
216
3.72 IPS |
|
|
Machine Translation (Q)
|
57% |
271
6.63 IPS |
