samsung SM-M055F
Geekbench ML Score
131
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 01 2025 09:20 AM |
| Views | 7 |
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 | 3.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
99
10.6 IPS |
|
|
Image Classification (F16)
|
100% |
87
9.34 IPS |
|
|
Image Classification (I8)
|
81% |
128
13.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
181
1.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
188
1.16 IPS |
|
|
Image Segmentation (I8)
|
89% |
402
2.48 IPS |
|
|
Pose Estimation (F32)
|
100% |
57
0.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
57
0.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
93
0.38 IPS |
|
|
Object Detection (F32)
|
100% |
128
4.50 IPS |
|
|
Object Detection (F16)
|
100% |
127
4.47 IPS |
|
|
Object Detection (I8)
|
52% |
212
7.45 IPS |
|
|
Face Detection (F32)
|
100% |
173
1.99 IPS |
|
|
Face Detection (F16)
|
100% |
177
2.04 IPS |
|
|
Face Detection (I8)
|
75% |
269
3.10 IPS |
|
|
Text Classification (F32)
|
100% |
132
52.0 IPS |
|
|
Text Classification (F16)
|
100% |
139
55.1 IPS |
|
|
Machine Translation (F32)
|
100% |
92
14.2 IPS |
|
|
Machine Translation (F16)
|
100% |
89
13.7 IPS |
