samsung SM-A055F
Geekbench ML Score
92
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 24 2025 09:11 PM |
| Views | 3 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
75
7.98 IPS |
|
|
Image Classification (F16)
|
100% |
67
7.16 IPS |
|
|
Image Classification (I8)
|
81% |
96
10.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
135
0.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
134
0.83 IPS |
|
|
Image Segmentation (I8)
|
89% |
160
0.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
38
0.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
36
0.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
30
0.12 IPS |
|
|
Object Detection (F32)
|
100% |
94
3.31 IPS |
|
|
Object Detection (F16)
|
100% |
90
3.17 IPS |
|
|
Object Detection (I8)
|
52% |
118
4.13 IPS |
|
|
Face Detection (F32)
|
100% |
123
1.41 IPS |
|
|
Face Detection (F16)
|
100% |
119
1.36 IPS |
|
|
Face Detection (I8)
|
75% |
136
1.56 IPS |
|
|
Text Classification (F32)
|
100% |
150
59.3 IPS |
|
|
Text Classification (F16)
|
100% |
167
66.0 IPS |
|
|
Machine Translation (F32)
|
100% |
88
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
89
13.7 IPS |
