samsung SM-E055F
Geekbench ML Score
109
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 19 2025 02:58 AM |
| Views | 7 |
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% |
84
9.02 IPS |
|
|
Image Classification (F16)
|
100% |
74
7.95 IPS |
|
|
Image Classification (I8)
|
81% |
127
13.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
147
0.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
152
0.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
351
2.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
45
0.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
45
0.18 IPS |
|
|
Pose Estimation (I8)
|
80% |
76
0.31 IPS |
|
|
Object Detection (F32)
|
100% |
103
3.61 IPS |
|
|
Object Detection (F16)
|
100% |
101
3.54 IPS |
|
|
Object Detection (I8)
|
52% |
145
5.08 IPS |
|
|
Face Detection (F32)
|
100% |
147
1.69 IPS |
|
|
Face Detection (F16)
|
100% |
140
1.61 IPS |
|
|
Face Detection (I8)
|
75% |
225
2.59 IPS |
|
|
Text Classification (F32)
|
100% |
107
42.5 IPS |
|
|
Text Classification (F16)
|
100% |
112
44.2 IPS |
|
|
Machine Translation (F32)
|
100% |
84
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
80
12.4 IPS |
