samsung SM-E055F
Geekbench ML Score
113
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 19 2025 01:34 AM |
| 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% |
87
9.28 IPS |
|
|
Image Classification (F16)
|
100% |
76
8.10 IPS |
|
|
Image Classification (I8)
|
81% |
127
13.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
148
0.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
157
0.97 IPS |
|
|
Image Segmentation (I8)
|
89% |
364
2.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
49
0.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
48
0.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
78
0.32 IPS |
|
|
Object Detection (F32)
|
100% |
103
3.60 IPS |
|
|
Object Detection (F16)
|
100% |
103
3.62 IPS |
|
|
Object Detection (I8)
|
52% |
155
5.43 IPS |
|
|
Face Detection (F32)
|
100% |
151
1.74 IPS |
|
|
Face Detection (F16)
|
100% |
146
1.68 IPS |
|
|
Face Detection (I8)
|
75% |
254
2.92 IPS |
|
|
Text Classification (F32)
|
100% |
114
45.0 IPS |
|
|
Text Classification (F16)
|
100% |
114
45.0 IPS |
|
|
Machine Translation (F32)
|
100% |
84
13.0 IPS |
|
|
Machine Translation (F16)
|
100% |
86
13.3 IPS |
