samsung SM-A356N
Geekbench AI Score
635
Single Precision Score
622
Half Precision Score
1216
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 24 2025 01:24 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% |
249
46.3 IPS |
|
|
Image Classification (HP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (Q)
|
100% |
792
147.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
1051
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1482
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1421
1.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
2238
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (HP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (Q)
|
83% |
814
65.7 IPS |
|
|
Face Detection (SP)
|
100% |
889
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (Q)
|
95% |
2149
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1235
9.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
1184
9.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
2096
19.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2550
3.31 IPS |
|
|
Style Transfer (HP)
|
89% |
2377
3.09 IPS |
|
|
Style Transfer (Q)
|
98% |
5140
6.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
719
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1331
49.3 IPS |
|
|
Text Classification (SP)
|
100% |
293
391.6 IPS |
|
|
Text Classification (HP)
|
100% |
285
380.0 IPS |
|
|
Text Classification (Q)
|
88% |
552
744.3 IPS |
|
|
Machine Translation (SP)
|
100% |
549
9.46 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.64 IPS |
|
|
Machine Translation (Q)
|
50% |
276
9.78 IPS |
