samsung SM-A256E
Geekbench AI Score
475
Single Precision Score
471
Half Precision Score
899
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 07:28 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% |
209
38.8 IPS |
|
|
Image Classification (HP)
|
100% |
209
38.9 IPS |
|
|
Image Classification (Q)
|
100% |
623
115.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
272
4.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
261
4.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
681
11.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1006
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
996
1.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
1506
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (Q)
|
83% |
584
47.2 IPS |
|
|
Face Detection (SP)
|
100% |
657
7.80 IPS |
|
|
Face Detection (HP)
|
100% |
654
7.77 IPS |
|
|
Face Detection (Q)
|
95% |
1411
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
798
6.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
835
6.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
1358
12.4 IPS |
|
|
Style Transfer (SP)
|
89% |
1769
2.30 IPS |
|
|
Style Transfer (HP)
|
89% |
1700
2.21 IPS |
|
|
Style Transfer (Q)
|
98% |
3408
4.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
911
33.8 IPS |
|
|
Text Classification (SP)
|
100% |
251
334.8 IPS |
|
|
Text Classification (HP)
|
100% |
249
332.7 IPS |
|
|
Text Classification (Q)
|
88% |
500
674.1 IPS |
|
|
Machine Translation (SP)
|
100% |
440
7.57 IPS |
|
|
Machine Translation (HP)
|
100% |
433
7.46 IPS |
|
|
Machine Translation (Q)
|
50% |
314
11.1 IPS |
