samsung SM-A556E
Geekbench AI Score
973
Single Precision Score
960
Half Precision Score
1964
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | September 01 2024 07:06 PM |
| Views | 4 |
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% |
521
96.8 IPS |
|
|
Image Classification (HP)
|
100% |
525
97.7 IPS |
|
|
Image Classification (Q)
|
100% |
1688
313.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1937
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2334
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2085
2.43 IPS |
|
|
Pose Estimation (Q)
|
84% |
3288
3.90 IPS |
|
|
Object Detection (SP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (Q)
|
87% |
1359
109.2 IPS |
|
|
Face Detection (SP)
|
100% |
1225
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1207
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
3038
36.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1670
12.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
1669
12.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
3365
27.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3482
4.52 IPS |
|
|
Style Transfer (HP)
|
89% |
3490
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
7513
9.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1801
66.7 IPS |
|
|
Text Classification (SP)
|
100% |
460
614.2 IPS |
|
|
Text Classification (HP)
|
100% |
457
609.8 IPS |
|
|
Text Classification (Q)
|
88% |
827
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
511
18.1 IPS |
