samsung SM-E426S
Geekbench AI Score
471
Single Precision Score
458
Half Precision Score
872
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | eunu |
| Upload Date | October 04 2025 06:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6833V/NZA |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-E426S |
| Model ID | samsung SM-E426S |
| Motherboard | f42x |
| CPU Information | |
|---|---|
| Name | ARM MT6833V/NZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
218
40.6 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.6 IPS |
|
|
Image Classification (Q)
|
100% |
622
115.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
692
11.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1071
1.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1064
1.24 IPS |
|
|
Pose Estimation (Q)
|
84% |
1597
1.89 IPS |
|
|
Object Detection (SP)
|
100% |
221
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
219
17.4 IPS |
|
|
Object Detection (Q)
|
83% |
626
50.5 IPS |
|
|
Face Detection (SP)
|
100% |
677
8.04 IPS |
|
|
Face Detection (HP)
|
100% |
621
7.37 IPS |
|
|
Face Detection (Q)
|
95% |
1263
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
742
5.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
743
5.73 IPS |
|
|
Depth Estimation (Q)
|
64% |
1384
12.7 IPS |
|
|
Style Transfer (SP)
|
89% |
1630
2.12 IPS |
|
|
Style Transfer (HP)
|
89% |
1621
2.10 IPS |
|
|
Style Transfer (Q)
|
98% |
3452
4.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
450
16.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
764
28.3 IPS |
|
|
Text Classification (SP)
|
100% |
249
331.9 IPS |
|
|
Text Classification (HP)
|
100% |
246
328.7 IPS |
|
|
Text Classification (Q)
|
88% |
448
604.4 IPS |
|
|
Machine Translation (SP)
|
100% |
421
7.26 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.50 IPS |
|
|
Machine Translation (Q)
|
50% |
289
10.3 IPS |
