samsung SM-M055F
Geekbench ML Score
117
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 07:46 PM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
90
9.61 IPS |
|
|
Image Classification (F16)
|
100% |
78
8.33 IPS |
|
|
Image Classification (I8)
|
81% |
113
12.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
164
1.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
168
1.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
346
2.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
53
0.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
51
0.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
85
0.34 IPS |
|
|
Object Detection (F32)
|
100% |
117
4.10 IPS |
|
|
Object Detection (F16)
|
100% |
116
4.08 IPS |
|
|
Object Detection (I8)
|
52% |
143
5.00 IPS |
|
|
Face Detection (F32)
|
100% |
154
1.77 IPS |
|
|
Face Detection (F16)
|
100% |
153
1.76 IPS |
|
|
Face Detection (I8)
|
75% |
231
2.66 IPS |
|
|
Text Classification (F32)
|
100% |
121
47.8 IPS |
|
|
Text Classification (F16)
|
100% |
123
48.5 IPS |
|
|
Machine Translation (F32)
|
100% |
87
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
84
12.9 IPS |
