samsung SM-A055F
Geekbench ML Score
113
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 29 2025 11:25 AM |
| Views | 8 |
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% |
93
10.0 IPS |
|
|
Image Classification (F16)
|
100% |
90
9.62 IPS |
|
|
Image Classification (I8)
|
81% |
109
11.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
189
1.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
149
0.92 IPS |
|
|
Image Segmentation (I8)
|
89% |
331
2.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
52
0.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
51
0.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
79
0.32 IPS |
|
|
Object Detection (F32)
|
100% |
118
4.13 IPS |
|
|
Object Detection (F16)
|
100% |
110
3.86 IPS |
|
|
Object Detection (I8)
|
52% |
141
4.96 IPS |
|
|
Face Detection (F32)
|
100% |
166
1.91 IPS |
|
|
Face Detection (F16)
|
100% |
135
1.55 IPS |
|
|
Face Detection (I8)
|
75% |
201
2.31 IPS |
|
|
Text Classification (F32)
|
100% |
99
39.1 IPS |
|
|
Text Classification (F16)
|
100% |
105
41.5 IPS |
|
|
Machine Translation (F32)
|
100% |
77
11.9 IPS |
|
|
Machine Translation (F16)
|
100% |
87
13.3 IPS |
