samsung SM-A256E
Geekbench AI Score
220
Single Precision Score
288
Half Precision Score
379
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 25 2024 10:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 5.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
120
22.2 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.4 IPS |
|
|
Image Classification (Q)
|
99% |
325
60.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
374
6.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
677
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
2205
2.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
840
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
121
9.58 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.61 IPS |
|
|
Object Detection (Q)
|
87% |
347
27.9 IPS |
|
|
Face Detection (SP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (HP)
|
100% |
314
3.73 IPS |
|
|
Face Detection (Q)
|
97% |
694
8.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
260
2.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
261
2.01 IPS |
|
|
Depth Estimation (Q)
|
64% |
646
5.86 IPS |
|
|
Style Transfer (SP)
|
100% |
571
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
445
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
381
0.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
208
7.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
268
9.89 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
440
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
56
75.2 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.0 IPS |
|
|
Text Classification (Q)
|
91% |
82
109.7 IPS |
|
|
Machine Translation (SP)
|
100% |
292
5.04 IPS |
|
|
Machine Translation (HP)
|
100% |
294
5.06 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.86 IPS |
