samsung SM-A356E
Geekbench AI Score
744
Single Precision Score
742
Half Precision Score
1558
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 31 2025 06:58 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
393
73.0 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.7 IPS |
|
|
Image Classification (Q)
|
100% |
1169
217.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
434
7.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
1374
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1728
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1747
2.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
3100
3.68 IPS |
|
|
Object Detection (SP)
|
100% |
368
29.2 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
83% |
1134
91.6 IPS |
|
|
Face Detection (SP)
|
100% |
1055
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
2710
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1350
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1310
10.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
2497
22.9 IPS |
|
|
Style Transfer (SP)
|
89% |
2656
3.45 IPS |
|
|
Style Transfer (HP)
|
89% |
2885
3.75 IPS |
|
|
Style Transfer (Q)
|
98% |
6477
8.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1434
53.1 IPS |
|
|
Text Classification (SP)
|
100% |
344
459.0 IPS |
|
|
Text Classification (HP)
|
100% |
346
461.5 IPS |
|
|
Text Classification (Q)
|
88% |
682
919.4 IPS |
|
|
Machine Translation (SP)
|
100% |
566
9.74 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (Q)
|
50% |
349
12.4 IPS |
