samsung SM-A556E
Geekbench AI Score
391
Single Precision Score
463
Half Precision Score
498
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | epicgeek |
| Upload Date | September 01 2024 07:26 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A556E |
| Model ID | samsung SM-A556E |
| 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% |
192
35.8 IPS |
|
|
Image Classification (HP)
|
100% |
219
40.8 IPS |
|
|
Image Classification (Q)
|
99% |
206
38.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
465
7.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
594
9.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
385
0.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
512
0.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
502
0.59 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
264
20.9 IPS |
|
|
Object Detection (Q)
|
89% |
250
20.0 IPS |
|
|
Face Detection (SP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
1073
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
973
11.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
684
5.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
900
6.93 IPS |
|
|
Depth Estimation (Q)
|
73% |
803
6.59 IPS |
|
|
Style Transfer (SP)
|
100% |
1942
2.50 IPS |
|
|
Style Transfer (HP)
|
100% |
2146
2.76 IPS |
|
|
Style Transfer (Q)
|
98% |
2153
2.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
330
12.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
421
15.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
410
15.2 IPS |
|
|
Text Classification (SP)
|
100% |
129
171.6 IPS |
|
|
Text Classification (HP)
|
100% |
128
171.1 IPS |
|
|
Text Classification (Q)
|
91% |
318
427.6 IPS |
|
|
Machine Translation (SP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (Q)
|
57% |
284
6.93 IPS |
