samsung SM-A055F
Geekbench ML Score
130
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 28 2025 10:10 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% |
105
11.3 IPS |
|
|
Image Classification (F16)
|
100% |
88
9.47 IPS |
|
|
Image Classification (I8)
|
81% |
123
13.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
180
1.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
184
1.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
400
2.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
53
0.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
53
0.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
92
0.37 IPS |
|
|
Object Detection (F32)
|
100% |
129
4.53 IPS |
|
|
Object Detection (F16)
|
100% |
124
4.34 IPS |
|
|
Object Detection (I8)
|
52% |
228
8.00 IPS |
|
|
Face Detection (F32)
|
100% |
183
2.11 IPS |
|
|
Face Detection (F16)
|
100% |
159
1.83 IPS |
|
|
Face Detection (I8)
|
75% |
257
2.95 IPS |
|
|
Text Classification (F32)
|
100% |
131
51.7 IPS |
|
|
Text Classification (F16)
|
100% |
144
57.1 IPS |
|
|
Machine Translation (F32)
|
100% |
89
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
89
13.7 IPS |
