samsung SM-E055F
Geekbench ML Score
127
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 03:25 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-E055F |
| Model ID | samsung SM-E055F |
| 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% |
94
10.0 IPS |
|
|
Image Classification (F16)
|
100% |
92
9.83 IPS |
|
|
Image Classification (I8)
|
81% |
141
15.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
181
1.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
189
1.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
425
2.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
57
0.23 IPS |
|
|
Pose Estimation (F16)
|
100% |
54
0.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
90
0.37 IPS |
|
|
Object Detection (F32)
|
100% |
126
4.42 IPS |
|
|
Object Detection (F16)
|
100% |
127
4.45 IPS |
|
|
Object Detection (I8)
|
52% |
184
6.45 IPS |
|
|
Face Detection (F32)
|
100% |
176
2.02 IPS |
|
|
Face Detection (F16)
|
100% |
174
1.99 IPS |
|
|
Face Detection (I8)
|
75% |
287
3.30 IPS |
|
|
Text Classification (F32)
|
100% |
114
45.0 IPS |
|
|
Text Classification (F16)
|
100% |
114
45.1 IPS |
|
|
Machine Translation (F32)
|
100% |
75
11.6 IPS |
|
|
Machine Translation (F16)
|
100% |
85
13.1 IPS |
