samsung SM-A356N
Geekbench AI Score
669
Single Precision Score
679
Half Precision Score
1394
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 09:43 AM |
| 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% |
304
56.6 IPS |
|
|
Image Classification (HP)
|
100% |
315
58.6 IPS |
|
|
Image Classification (Q)
|
100% |
966
179.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
373
6.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1189
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1603
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1528
1.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
2638
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (HP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
83% |
942
76.1 IPS |
|
|
Face Detection (SP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
864
10.3 IPS |
|
|
Face Detection (Q)
|
95% |
2369
28.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1147
8.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
1182
9.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
2362
21.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2600
3.37 IPS |
|
|
Style Transfer (HP)
|
89% |
2583
3.35 IPS |
|
|
Style Transfer (Q)
|
98% |
6031
7.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
664
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1429
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
342
457.0 IPS |
|
|
Text Classification (HP)
|
100% |
349
466.4 IPS |
|
|
Text Classification (Q)
|
88% |
639
861.6 IPS |
|
|
Machine Translation (SP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
50% |
317
11.3 IPS |
