samsung SM-A556B
Geekbench AI Score
1073
Single Precision Score
1071
Half Precision Score
2338
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 12:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
530
98.5 IPS |
|
|
Image Classification (HP)
|
100% |
528
98.2 IPS |
|
|
Image Classification (Q)
|
100% |
1650
306.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1924
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2331
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2330
2.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
4350
5.16 IPS |
|
|
Object Detection (SP)
|
100% |
524
41.6 IPS |
|
|
Object Detection (HP)
|
100% |
525
41.7 IPS |
|
|
Object Detection (Q)
|
83% |
1604
129.6 IPS |
|
|
Face Detection (SP)
|
100% |
1300
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1297
15.4 IPS |
|
|
Face Detection (Q)
|
95% |
3884
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1826
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1829
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3944
36.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4199
5.45 IPS |
|
|
Style Transfer (HP)
|
89% |
4216
5.47 IPS |
|
|
Style Transfer (Q)
|
98% |
9944
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
991
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2251
83.4 IPS |
|
|
Text Classification (SP)
|
100% |
560
747.4 IPS |
|
|
Text Classification (HP)
|
100% |
570
760.9 IPS |
|
|
Text Classification (Q)
|
88% |
1113
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
897
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (Q)
|
50% |
578
20.5 IPS |
