samsung SM-A055F
Geekbench ML Score
117
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 10:11 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A055F |
| Model ID | samsung SM-A055F |
| Motherboard | a05m |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
99
10.6 IPS |
|
|
Image Classification (F16)
|
100% |
76
8.18 IPS |
|
|
Image Classification (I8)
|
81% |
116
12.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
162
1.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
165
1.02 IPS |
|
|
Image Segmentation (I8)
|
89% |
358
2.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
52
0.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
52
0.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
82
0.33 IPS |
|
|
Object Detection (F32)
|
100% |
110
3.85 IPS |
|
|
Object Detection (F16)
|
100% |
108
3.79 IPS |
|
|
Object Detection (I8)
|
52% |
164
5.75 IPS |
|
|
Face Detection (F32)
|
100% |
155
1.78 IPS |
|
|
Face Detection (F16)
|
100% |
157
1.80 IPS |
|
|
Face Detection (I8)
|
75% |
257
2.95 IPS |
|
|
Text Classification (F32)
|
100% |
111
43.8 IPS |
|
|
Text Classification (F16)
|
100% |
112
44.4 IPS |
|
|
Machine Translation (F32)
|
100% |
87
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
90
13.8 IPS |
