samsung SM-A356B
Geekbench AI Score
890
Single Precision Score
881
Half Precision Score
1880
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | May 19 2025 06:51 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A356B |
| Model ID | samsung SM-A356B |
| 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% |
450
83.7 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.7 IPS |
|
|
Image Classification (Q)
|
100% |
1385
257.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
522
8.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
513
8.31 IPS |
|
|
Image Segmentation (Q)
|
98% |
1623
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1932
2.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
1854
2.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
3428
4.07 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (Q)
|
83% |
1303
105.3 IPS |
|
|
Face Detection (SP)
|
100% |
1136
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1142
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
3205
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1575
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1586
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3083
28.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3313
4.30 IPS |
|
|
Style Transfer (HP)
|
89% |
3363
4.37 IPS |
|
|
Style Transfer (Q)
|
98% |
8006
10.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
892
32.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
893
33.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1963
72.7 IPS |
|
|
Text Classification (SP)
|
100% |
484
645.7 IPS |
|
|
Text Classification (HP)
|
100% |
484
645.6 IPS |
|
|
Text Classification (Q)
|
88% |
899
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
669
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
395
14.0 IPS |
