samsung SM-A356B
Geekbench AI Score
124
Single Precision Score
165
Half Precision Score
515
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 01:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 5.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
126
23.4 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.5 IPS |
|
|
Image Classification (Q)
|
99% |
341
63.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
311
5.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
380
6.18 IPS |
|
|
Pose Estimation (SP)
|
0% |
0
0.10 IPS |
|
|
Pose Estimation (HP)
|
0% |
0
2.89 IPS |
|
|
Pose Estimation (Q)
|
98% |
881
1.03 IPS |
|
|
Object Detection (SP)
|
100% |
126
10.00 IPS |
|
|
Object Detection (HP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (Q)
|
87% |
366
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
327
3.88 IPS |
|
|
Face Detection (HP)
|
100% |
329
3.91 IPS |
|
|
Face Detection (Q)
|
97% |
729
8.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
278
2.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
279
2.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
680
6.17 IPS |
|
|
Style Transfer (SP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
482
0.62 IPS |
|
|
Style Transfer (Q)
|
98% |
1343
1.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74
2.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
881
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
484
17.9 IPS |
|
|
Text Classification (SP)
|
100% |
180
239.9 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.7 IPS |
|
|
Text Classification (Q)
|
91% |
345
464.3 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.27 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.28 IPS |
|
|
Machine Translation (Q)
|
57% |
287
7.02 IPS |
