samsung SM-A356E
Geekbench AI Score
497
Single Precision Score
729
Half Precision Score
605
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 05:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-A356E |
| Model ID | samsung SM-A356E |
| Motherboard | s5e8835 |
| 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 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
257
47.8 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.4 IPS |
|
|
Image Classification (Q)
|
97% |
187
34.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
552
8.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1063
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2329
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4649
5.42 IPS |
|
|
Pose Estimation (Q)
|
95% |
4561
5.35 IPS |
|
|
Object Detection (SP)
|
100% |
347
27.6 IPS |
|
|
Object Detection (HP)
|
99% |
500
39.7 IPS |
|
|
Object Detection (Q)
|
83% |
452
36.5 IPS |
|
|
Face Detection (SP)
|
100% |
1131
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
1856
22.1 IPS |
|
|
Face Detection (Q)
|
96% |
1758
21.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1559
12.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2798
21.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
2169
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3719
4.78 IPS |
|
|
Style Transfer (HP)
|
100% |
8639
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8394
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1066
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
979
36.3 IPS |
|
|
Text Classification (SP)
|
35% |
7
65.3 IPS |
|
|
Text Classification (HP)
|
35% |
11
100.8 IPS |
|
|
Text Classification (Q)
|
29% |
8
131.9 IPS |
|
|
Machine Translation (SP)
|
100% |
217
3.73 IPS |
|
|
Machine Translation (HP)
|
100% |
161
2.78 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.78 IPS |
