samsung SM-A556E
Geekbench AI Score
1035
Single Precision Score
1037
Half Precision Score
2181
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | funskeen |
| Upload Date | February 17 2025 08:46 PM |
| Views | 6 |
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% |
516
96.0 IPS |
|
|
Image Classification (HP)
|
100% |
519
96.5 IPS |
|
|
Image Classification (Q)
|
100% |
1652
307.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
1908
31.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2347
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2336
2.73 IPS |
|
|
Pose Estimation (Q)
|
84% |
3956
4.69 IPS |
|
|
Object Detection (SP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (HP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (Q)
|
83% |
1550
125.2 IPS |
|
|
Face Detection (SP)
|
100% |
1266
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1270
15.1 IPS |
|
|
Face Detection (Q)
|
95% |
3562
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1772
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1771
13.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3617
33.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3959
5.14 IPS |
|
|
Style Transfer (HP)
|
89% |
3950
5.13 IPS |
|
|
Style Transfer (Q)
|
98% |
8782
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
966
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2099
77.8 IPS |
|
|
Text Classification (SP)
|
100% |
526
701.8 IPS |
|
|
Text Classification (HP)
|
100% |
526
702.3 IPS |
|
|
Text Classification (Q)
|
88% |
1050
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (Q)
|
50% |
507
18.0 IPS |
