samsung SM-M055F
Geekbench ML Score
100
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 20 2025 05:50 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-M055F |
| Model ID | samsung SM-M055F |
| 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
80
8.59 IPS |
|
|
Image Classification (F16)
|
100% |
71
7.66 IPS |
|
|
Image Classification (I8)
|
81% |
111
11.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
152
0.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
149
0.92 IPS |
|
|
Image Segmentation (I8)
|
89% |
195
1.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
41
0.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
40
0.16 IPS |
|
|
Pose Estimation (I8)
|
80% |
33
0.13 IPS |
|
|
Object Detection (F32)
|
100% |
98
3.45 IPS |
|
|
Object Detection (F16)
|
100% |
94
3.32 IPS |
|
|
Object Detection (I8)
|
52% |
126
4.41 IPS |
|
|
Face Detection (F32)
|
100% |
136
1.56 IPS |
|
|
Face Detection (F16)
|
100% |
128
1.47 IPS |
|
|
Face Detection (I8)
|
75% |
138
1.59 IPS |
|
|
Text Classification (F32)
|
100% |
170
67.2 IPS |
|
|
Text Classification (F16)
|
100% |
170
67.1 IPS |
|
|
Machine Translation (F32)
|
100% |
91
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
97
15.0 IPS |
