samsung SM-A055F
Geekbench ML Score
103
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 29 2025 11:38 AM |
| Views | 7 |
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% |
87
9.34 IPS |
|
|
Image Classification (F16)
|
100% |
63
6.73 IPS |
|
|
Image Classification (I8)
|
81% |
124
13.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
160
0.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
160
0.99 IPS |
|
|
Image Segmentation (I8)
|
89% |
210
1.30 IPS |
|
|
Pose Estimation (F32)
|
100% |
40
0.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
40
0.16 IPS |
|
|
Pose Estimation (I8)
|
80% |
35
0.14 IPS |
|
|
Object Detection (F32)
|
100% |
103
3.63 IPS |
|
|
Object Detection (F16)
|
100% |
98
3.44 IPS |
|
|
Object Detection (I8)
|
52% |
137
4.82 IPS |
|
|
Face Detection (F32)
|
100% |
149
1.71 IPS |
|
|
Face Detection (F16)
|
100% |
124
1.42 IPS |
|
|
Face Detection (I8)
|
75% |
126
1.45 IPS |
|
|
Text Classification (F32)
|
100% |
173
68.5 IPS |
|
|
Text Classification (F16)
|
100% |
196
77.5 IPS |
|
|
Machine Translation (F32)
|
100% |
95
14.7 IPS |
|
|
Machine Translation (F16)
|
100% |
94
14.6 IPS |
