samsung SM-A356E
Geekbench AI Score
713
Single Precision Score
712
Half Precision Score
1425
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | LessPlum3393 |
| Upload Date | September 13 2025 06:31 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
392
73.0 IPS |
|
|
Image Classification (HP)
|
100% |
395
73.4 IPS |
|
|
Image Classification (Q)
|
100% |
1253
233.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
462
7.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
467
7.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
1385
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1643
1.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1543
1.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
2532
3.00 IPS |
|
|
Object Detection (SP)
|
100% |
312
24.7 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
83% |
929
75.1 IPS |
|
|
Face Detection (SP)
|
100% |
889
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
983
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
2291
27.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1211
9.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
1236
9.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
2274
20.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2599
3.37 IPS |
|
|
Style Transfer (HP)
|
89% |
2663
3.46 IPS |
|
|
Style Transfer (Q)
|
98% |
5963
7.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
758
28.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
699
25.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1395
51.7 IPS |
|
|
Text Classification (SP)
|
100% |
332
443.8 IPS |
|
|
Text Classification (HP)
|
100% |
332
443.8 IPS |
|
|
Text Classification (Q)
|
88% |
613
827.0 IPS |
|
|
Machine Translation (SP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.78 IPS |
|
|
Machine Translation (Q)
|
50% |
320
11.4 IPS |
