samsung SM-A055F
Geekbench ML Score
102
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 23 2025 05:59 AM |
| Views | 5 |
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% |
80
8.59 IPS |
|
|
Image Classification (F16)
|
100% |
64
6.81 IPS |
|
|
Image Classification (I8)
|
81% |
93
9.96 IPS |
|
|
Image Segmentation (F32)
|
100% |
146
0.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
148
0.91 IPS |
|
|
Image Segmentation (I8)
|
89% |
329
2.03 IPS |
|
|
Pose Estimation (F32)
|
100% |
39
0.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
46
0.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
59
0.24 IPS |
|
|
Object Detection (F32)
|
100% |
96
3.36 IPS |
|
|
Object Detection (F16)
|
100% |
96
3.36 IPS |
|
|
Object Detection (I8)
|
52% |
154
5.41 IPS |
|
|
Face Detection (F32)
|
100% |
142
1.63 IPS |
|
|
Face Detection (F16)
|
100% |
139
1.59 IPS |
|
|
Face Detection (I8)
|
75% |
185
2.12 IPS |
|
|
Text Classification (F32)
|
100% |
104
41.2 IPS |
|
|
Text Classification (F16)
|
100% |
111
43.8 IPS |
|
|
Machine Translation (F32)
|
100% |
87
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
83
12.9 IPS |
