samsung SM-A055F
Geekbench ML Score
111
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 23 2025 02:14 AM |
| 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 | 3.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
79
8.47 IPS |
|
|
Image Classification (F16)
|
100% |
69
7.40 IPS |
|
|
Image Classification (I8)
|
81% |
108
11.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
150
0.93 IPS |
|
|
Image Segmentation (F16)
|
100% |
160
0.99 IPS |
|
|
Image Segmentation (I8)
|
89% |
343
2.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
49
0.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
51
0.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
80
0.32 IPS |
|
|
Object Detection (F32)
|
100% |
117
4.10 IPS |
|
|
Object Detection (F16)
|
100% |
113
3.95 IPS |
|
|
Object Detection (I8)
|
52% |
151
5.30 IPS |
|
|
Face Detection (F32)
|
100% |
145
1.67 IPS |
|
|
Face Detection (F16)
|
100% |
140
1.61 IPS |
|
|
Face Detection (I8)
|
75% |
229
2.64 IPS |
|
|
Text Classification (F32)
|
100% |
110
43.5 IPS |
|
|
Text Classification (F16)
|
100% |
110
43.6 IPS |
|
|
Machine Translation (F32)
|
100% |
81
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
84
13.0 IPS |
