samsung SM-M055F
Geekbench ML Score
115
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2025 01:39 AM |
| Views | 3 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
91
9.70 IPS |
|
|
Image Classification (F16)
|
100% |
78
8.37 IPS |
|
|
Image Classification (I8)
|
81% |
136
14.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
155
0.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
162
1.00 IPS |
|
|
Image Segmentation (I8)
|
89% |
363
2.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
49
0.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
47
0.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
79
0.32 IPS |
|
|
Object Detection (F32)
|
100% |
109
3.82 IPS |
|
|
Object Detection (F16)
|
100% |
105
3.68 IPS |
|
|
Object Detection (I8)
|
52% |
161
5.65 IPS |
|
|
Face Detection (F32)
|
100% |
153
1.76 IPS |
|
|
Face Detection (F16)
|
100% |
148
1.70 IPS |
|
|
Face Detection (I8)
|
75% |
241
2.77 IPS |
|
|
Text Classification (F32)
|
100% |
113
44.7 IPS |
|
|
Text Classification (F16)
|
100% |
111
43.8 IPS |
|
|
Machine Translation (F32)
|
100% |
89
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
83
12.8 IPS |
