samsung SM-E055F
Geekbench ML Score
104
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2025 04:08 AM |
| Views | 8 |
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% |
76
8.13 IPS |
|
|
Image Classification (F16)
|
100% |
68
7.30 IPS |
|
|
Image Classification (I8)
|
81% |
131
14.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
138
0.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
139
0.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
324
2.00 IPS |
|
|
Pose Estimation (F32)
|
100% |
43
0.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
43
0.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
70
0.28 IPS |
|
|
Object Detection (F32)
|
100% |
97
3.39 IPS |
|
|
Object Detection (F16)
|
100% |
93
3.25 IPS |
|
|
Object Detection (I8)
|
52% |
141
4.94 IPS |
|
|
Face Detection (F32)
|
100% |
135
1.55 IPS |
|
|
Face Detection (F16)
|
100% |
135
1.55 IPS |
|
|
Face Detection (I8)
|
75% |
215
2.47 IPS |
|
|
Text Classification (F32)
|
100% |
108
42.7 IPS |
|
|
Text Classification (F16)
|
100% |
109
42.9 IPS |
|
|
Machine Translation (F32)
|
100% |
82
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
91
14.1 IPS |
