samsung SM-A356N
Geekbench AI Score
750
Single Precision Score
775
Half Precision Score
1616
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | September 06 2025 07:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
368
68.5 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.9 IPS |
|
|
Image Classification (Q)
|
100% |
1274
237.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
461
7.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
473
7.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
1366
22.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1580
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1643
1.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
2965
3.52 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (HP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (Q)
|
83% |
1126
90.9 IPS |
|
|
Face Detection (SP)
|
100% |
947
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
977
11.6 IPS |
|
|
Face Detection (Q)
|
95% |
2863
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1337
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1469
11.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
2708
24.8 IPS |
|
|
Style Transfer (SP)
|
89% |
3027
3.93 IPS |
|
|
Style Transfer (HP)
|
89% |
3058
3.97 IPS |
|
|
Style Transfer (Q)
|
98% |
6931
8.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
802
29.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1569
58.1 IPS |
|
|
Text Classification (SP)
|
100% |
369
492.3 IPS |
|
|
Text Classification (HP)
|
100% |
369
491.9 IPS |
|
|
Text Classification (Q)
|
88% |
694
935.5 IPS |
|
|
Machine Translation (SP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (Q)
|
50% |
359
12.8 IPS |
