samsung SM-A556E
Geekbench AI Score
1007
Single Precision Score
994
Half Precision Score
2061
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 30 2024 06:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
519
96.4 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
100% |
1639
304.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1888
30.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2313
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2027
2.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
3659
4.34 IPS |
|
|
Object Detection (SP)
|
100% |
499
39.6 IPS |
|
|
Object Detection (HP)
|
100% |
495
39.3 IPS |
|
|
Object Detection (Q)
|
83% |
1467
118.5 IPS |
|
|
Face Detection (SP)
|
100% |
1267
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (Q)
|
95% |
3302
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1704
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1719
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3344
30.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3854
5.00 IPS |
|
|
Style Transfer (HP)
|
89% |
3866
5.02 IPS |
|
|
Style Transfer (Q)
|
98% |
8441
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
934
34.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
914
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1948
72.2 IPS |
|
|
Text Classification (SP)
|
100% |
472
629.9 IPS |
|
|
Text Classification (HP)
|
100% |
487
650.3 IPS |
|
|
Text Classification (Q)
|
88% |
914
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
806
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
801
13.8 IPS |
|
|
Machine Translation (Q)
|
50% |
503
17.8 IPS |
