samsung SM-A055F
Geekbench ML Score
93
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 10:24 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
75
8.06 IPS |
|
|
Image Classification (F16)
|
100% |
69
7.35 IPS |
|
|
Image Classification (I8)
|
81% |
96
10.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
137
0.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
141
0.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
170
1.05 IPS |
|
|
Pose Estimation (F32)
|
100% |
38
0.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
38
0.15 IPS |
|
|
Pose Estimation (I8)
|
80% |
31
0.13 IPS |
|
|
Object Detection (F32)
|
100% |
93
3.27 IPS |
|
|
Object Detection (F16)
|
100% |
89
3.13 IPS |
|
|
Object Detection (I8)
|
52% |
111
3.90 IPS |
|
|
Face Detection (F32)
|
100% |
122
1.41 IPS |
|
|
Face Detection (F16)
|
100% |
118
1.36 IPS |
|
|
Face Detection (I8)
|
75% |
134
1.54 IPS |
|
|
Text Classification (F32)
|
100% |
176
69.6 IPS |
|
|
Text Classification (F16)
|
100% |
159
62.8 IPS |
|
|
Machine Translation (F32)
|
100% |
83
12.8 IPS |
|
|
Machine Translation (F16)
|
100% |
89
13.7 IPS |
