samsung SM-A055F
Geekbench ML Score
114
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 10:33 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
98
10.5 IPS |
|
|
Image Classification (F16)
|
100% |
76
8.15 IPS |
|
|
Image Classification (I8)
|
81% |
116
12.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
154
0.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
155
0.96 IPS |
|
|
Image Segmentation (I8)
|
89% |
353
2.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
50
0.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
49
0.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
78
0.32 IPS |
|
|
Object Detection (F32)
|
100% |
102
3.58 IPS |
|
|
Object Detection (F16)
|
100% |
107
3.76 IPS |
|
|
Object Detection (I8)
|
52% |
155
5.43 IPS |
|
|
Face Detection (F32)
|
100% |
154
1.77 IPS |
|
|
Face Detection (F16)
|
100% |
148
1.70 IPS |
|
|
Face Detection (I8)
|
75% |
245
2.82 IPS |
|
|
Text Classification (F32)
|
100% |
112
44.5 IPS |
|
|
Text Classification (F16)
|
100% |
110
43.7 IPS |
|
|
Machine Translation (F32)
|
100% |
83
12.8 IPS |
|
|
Machine Translation (F16)
|
100% |
93
14.3 IPS |
