samsung SM-A356B
Geekbench AI Score
514
Single Precision Score
736
Half Precision Score
578
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | November 27 2025 09:12 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
303
56.4 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.3 IPS |
|
|
Image Classification (Q)
|
97% |
259
48.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
594
9.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1018
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2403
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4087
4.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
4574
5.36 IPS |
|
|
Object Detection (SP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (HP)
|
99% |
478
37.9 IPS |
|
|
Object Detection (Q)
|
83% |
445
35.9 IPS |
|
|
Face Detection (SP)
|
100% |
1170
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
2379
28.3 IPS |
|
|
Face Detection (Q)
|
96% |
1859
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1568
12.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2791
21.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
2171
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3709
4.77 IPS |
|
|
Style Transfer (HP)
|
100% |
8566
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
8479
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
791
29.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
874
32.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1061
39.3 IPS |
|
|
Text Classification (SP)
|
35% |
7
59.3 IPS |
|
|
Text Classification (HP)
|
29% |
5
89.7 IPS |
|
|
Text Classification (Q)
|
29% |
5
88.0 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.01 IPS |
|
|
Machine Translation (HP)
|
100% |
170
2.93 IPS |
|
|
Machine Translation (Q)
|
43% |
43
2.51 IPS |
