samsung SM-A356N
Geekbench AI Score
698
Single Precision Score
696
Half Precision Score
1432
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 06 2025 02:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A356N |
| Model ID | samsung SM-A356N |
| 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 | 5.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
388
72.2 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
100% |
1267
235.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
481
7.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
1428
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1588
1.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1496
1.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
2631
3.12 IPS |
|
|
Object Detection (SP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
83% |
958
77.4 IPS |
|
|
Face Detection (SP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
998
11.9 IPS |
|
|
Face Detection (Q)
|
95% |
2354
28.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1211
9.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
1257
9.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
2255
20.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2502
3.25 IPS |
|
|
Style Transfer (HP)
|
89% |
2518
3.27 IPS |
|
|
Style Transfer (Q)
|
98% |
5721
7.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
645
23.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
643
23.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1355
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
320
427.0 IPS |
|
|
Text Classification (HP)
|
100% |
318
424.4 IPS |
|
|
Text Classification (Q)
|
88% |
606
817.2 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (Q)
|
50% |
319
11.3 IPS |
