samsung SM-A356B
Geekbench AI Score
850
Single Precision Score
848
Half Precision Score
1797
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | September 24 2025 09:10 AM |
| Views | 6 |
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% |
443
82.4 IPS |
|
|
Image Classification (HP)
|
100% |
423
78.7 IPS |
|
|
Image Classification (Q)
|
100% |
1367
254.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
518
8.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
512
8.29 IPS |
|
|
Image Segmentation (Q)
|
98% |
1570
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1888
2.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
1824
2.13 IPS |
|
|
Pose Estimation (Q)
|
84% |
3375
4.00 IPS |
|
|
Object Detection (SP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (HP)
|
100% |
389
30.8 IPS |
|
|
Object Detection (Q)
|
83% |
1232
99.5 IPS |
|
|
Face Detection (SP)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
1121
13.3 IPS |
|
|
Face Detection (Q)
|
95% |
2909
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1519
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1564
12.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3048
27.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3232
4.20 IPS |
|
|
Style Transfer (HP)
|
89% |
3303
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
7214
9.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
752
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
858
31.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1778
65.9 IPS |
|
|
Text Classification (SP)
|
100% |
419
559.2 IPS |
|
|
Text Classification (HP)
|
100% |
413
551.7 IPS |
|
|
Text Classification (Q)
|
88% |
863
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
611
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
401
14.2 IPS |
