samsung SM-A556E
Geekbench AI Score
908
Single Precision Score
912
Half Precision Score
1769
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 10:43 AM |
| 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% |
459
85.3 IPS |
|
|
Image Classification (HP)
|
100% |
458
85.2 IPS |
|
|
Image Classification (Q)
|
100% |
1267
235.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
522
8.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
523
8.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
1455
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1982
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1980
2.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
3353
3.98 IPS |
|
|
Object Detection (SP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (HP)
|
100% |
449
35.6 IPS |
|
|
Object Detection (Q)
|
83% |
1235
99.8 IPS |
|
|
Face Detection (SP)
|
100% |
1187
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1169
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2854
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1528
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1596
12.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2700
24.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3396
4.41 IPS |
|
|
Style Transfer (HP)
|
89% |
3334
4.33 IPS |
|
|
Style Transfer (Q)
|
98% |
6847
8.83 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
858
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
916
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1873
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
469
625.9 IPS |
|
|
Text Classification (HP)
|
100% |
459
613.2 IPS |
|
|
Text Classification (Q)
|
88% |
864
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
50% |
462
16.4 IPS |
