samsung SM-A256E
Geekbench AI Score
448
Single Precision Score
437
Half Precision Score
836
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 20 2025 12:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A256E |
| Model ID | samsung SM-A256E |
| Motherboard | s5e8825 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
207
38.5 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.2 IPS |
|
|
Image Classification (Q)
|
100% |
559
104.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
259
4.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
681
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
937
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
935
1.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
1432
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
83% |
538
43.4 IPS |
|
|
Face Detection (SP)
|
100% |
610
7.25 IPS |
|
|
Face Detection (HP)
|
100% |
611
7.25 IPS |
|
|
Face Detection (Q)
|
95% |
1404
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
853
6.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
786
6.06 IPS |
|
|
Depth Estimation (Q)
|
64% |
1285
11.8 IPS |
|
|
Style Transfer (SP)
|
89% |
1712
2.22 IPS |
|
|
Style Transfer (HP)
|
89% |
1582
2.05 IPS |
|
|
Style Transfer (Q)
|
98% |
3253
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
443
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
780
28.9 IPS |
|
|
Text Classification (SP)
|
100% |
223
298.1 IPS |
|
|
Text Classification (HP)
|
100% |
222
296.3 IPS |
|
|
Text Classification (Q)
|
88% |
437
589.2 IPS |
|
|
Machine Translation (SP)
|
100% |
399
6.87 IPS |
|
|
Machine Translation (HP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (Q)
|
50% |
285
10.1 IPS |
