samsung SM-A556B
Geekbench AI Score
387
Single Precision Score
458
Half Precision Score
494
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | eldavido |
| Upload Date | December 22 2024 02:26 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A556B |
| Model ID | samsung SM-A556B |
| Motherboard | s5e8845 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 2.05 GHz |
| Cluster 1 | 4 Cores @ 2.05 GHz |
| Cluster 2 | 4 Cores @ 2.75 GHz |
| Memory Information | |
|---|---|
| Size | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
172
31.9 IPS |
|
|
Image Classification (HP)
|
100% |
206
38.3 IPS |
|
|
Image Classification (Q)
|
99% |
193
35.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
457
7.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
590
9.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
592
9.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
387
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
532
0.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
515
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (Q)
|
86% |
274
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
874
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
949
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
675
5.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
885
6.84 IPS |
|
|
Depth Estimation (Q)
|
63% |
742
6.94 IPS |
|
|
Style Transfer (SP)
|
100% |
1935
2.49 IPS |
|
|
Style Transfer (HP)
|
100% |
2145
2.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2134
2.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
421
15.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
410
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
128
171.4 IPS |
|
|
Text Classification (HP)
|
100% |
129
172.4 IPS |
|
|
Text Classification (Q)
|
91% |
316
425.1 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.92 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (Q)
|
57% |
281
6.86 IPS |
