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 24 2025 08:57 PM |
| 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% |
97
10.4 IPS |
|
|
Image Classification (F16)
|
100% |
77
8.28 IPS |
|
|
Image Classification (I8)
|
81% |
110
11.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
160
0.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
165
1.02 IPS |
|
|
Image Segmentation (I8)
|
89% |
377
2.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
51
0.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
51
0.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
83
0.34 IPS |
|
|
Object Detection (F32)
|
100% |
105
3.69 IPS |
|
|
Object Detection (F16)
|
100% |
109
3.82 IPS |
|
|
Object Detection (I8)
|
52% |
197
6.91 IPS |
|
|
Face Detection (F32)
|
100% |
154
1.77 IPS |
|
|
Face Detection (F16)
|
100% |
152
1.75 IPS |
|
|
Face Detection (I8)
|
75% |
223
2.56 IPS |
|
|
Text Classification (F32)
|
100% |
112
44.1 IPS |
|
|
Text Classification (F16)
|
100% |
118
46.7 IPS |
|
|
Machine Translation (F32)
|
100% |
88
13.6 IPS |
|
|
Machine Translation (F16)
|
100% |
89
13.8 IPS |
