samsung SM-A356B
Geekbench AI Score
532
Single Precision Score
893
Half Precision Score
694
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kszycho |
| Upload Date | September 24 2025 09:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
278
51.7 IPS |
|
|
Image Classification (HP)
|
100% |
516
95.9 IPS |
|
|
Image Classification (Q)
|
97% |
380
71.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1004
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2309
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
4403
5.14 IPS |
|
|
Pose Estimation (Q)
|
95% |
4322
5.07 IPS |
|
|
Object Detection (SP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (HP)
|
99% |
525
41.6 IPS |
|
|
Object Detection (Q)
|
83% |
448
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
993
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
1795
21.3 IPS |
|
|
Face Detection (Q)
|
96% |
1400
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1386
10.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2541
19.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
1908
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3723
4.79 IPS |
|
|
Style Transfer (HP)
|
100% |
8279
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
7801
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
736
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1146
42.5 IPS |
|
|
Text Classification (SP)
|
35% |
14
126.1 IPS |
|
|
Text Classification (HP)
|
29% |
13
232.1 IPS |
|
|
Text Classification (Q)
|
29% |
12
208.1 IPS |
|
|
Machine Translation (SP)
|
100% |
388
6.68 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (Q)
|
43% |
124
7.23 IPS |
