samsung SM-A556B
Geekbench AI Score
391
Single Precision Score
457
Half Precision Score
495
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 04:49 PM |
| Views | 1 |
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% |
181
33.6 IPS |
|
|
Image Classification (HP)
|
100% |
200
37.2 IPS |
|
|
Image Classification (Q)
|
99% |
186
34.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
456
7.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
601
9.74 IPS |
|
|
Image Segmentation (Q)
|
98% |
589
9.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
393
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
532
0.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
519
0.61 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (HP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (Q)
|
86% |
282
22.7 IPS |
|
|
Face Detection (SP)
|
100% |
863
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
1068
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
992
11.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
680
5.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
906
7.00 IPS |
|
|
Depth Estimation (Q)
|
63% |
714
6.68 IPS |
|
|
Style Transfer (SP)
|
100% |
1927
2.48 IPS |
|
|
Style Transfer (HP)
|
100% |
2127
2.73 IPS |
|
|
Style Transfer (Q)
|
98% |
2133
2.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
426
15.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
410
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
129
171.6 IPS |
|
|
Text Classification (HP)
|
100% |
128
170.6 IPS |
|
|
Text Classification (Q)
|
91% |
316
425.3 IPS |
|
|
Machine Translation (SP)
|
100% |
226
3.89 IPS |
|
|
Machine Translation (HP)
|
100% |
226
3.90 IPS |
|
|
Machine Translation (Q)
|
57% |
283
6.90 IPS |
