samsung SM-A055F
Geekbench ML Score
83
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 23 2025 06:15 AM |
| Views | 6 |
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 | 3.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
66
7.11 IPS |
|
|
Image Classification (F16)
|
100% |
56
6.01 IPS |
|
|
Image Classification (I8)
|
81% |
79
8.47 IPS |
|
|
Image Segmentation (F32)
|
100% |
109
0.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
126
0.78 IPS |
|
|
Image Segmentation (I8)
|
89% |
168
1.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
34
0.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
35
0.14 IPS |
|
|
Pose Estimation (I8)
|
80% |
30
0.12 IPS |
|
|
Object Detection (F32)
|
100% |
92
3.24 IPS |
|
|
Object Detection (F16)
|
100% |
75
2.64 IPS |
|
|
Object Detection (I8)
|
52% |
87
3.04 IPS |
|
|
Face Detection (F32)
|
100% |
105
1.21 IPS |
|
|
Face Detection (F16)
|
100% |
110
1.27 IPS |
|
|
Face Detection (I8)
|
75% |
123
1.41 IPS |
|
|
Text Classification (F32)
|
100% |
137
54.2 IPS |
|
|
Text Classification (F16)
|
100% |
146
57.8 IPS |
|
|
Machine Translation (F32)
|
100% |
87
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
91
14.0 IPS |
