samsung SM-A356E
Geekbench AI Score
194
Single Precision Score
361
Half Precision Score
519
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | LessPlum3393 |
| Upload Date | September 13 2025 06:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
126
23.4 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (Q)
|
99% |
338
63.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
376
6.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
86
0.10 IPS |
|
|
Pose Estimation (HP)
|
99% |
2474
2.89 IPS |
|
|
Pose Estimation (Q)
|
98% |
880
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (HP)
|
100% |
127
10.1 IPS |
|
|
Object Detection (Q)
|
87% |
365
29.3 IPS |
|
|
Face Detection (SP)
|
100% |
327
3.88 IPS |
|
|
Face Detection (HP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (Q)
|
97% |
734
8.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
280
2.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
281
2.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
709
6.44 IPS |
|
|
Style Transfer (SP)
|
100% |
483
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
483
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1389
1.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74
2.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
495
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
179
238.6 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.1 IPS |
|
|
Text Classification (Q)
|
91% |
345
463.7 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (Q)
|
57% |
286
7.00 IPS |
