samsung SM-E055F
Geekbench ML Score
104
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 01 2025 09:33 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
88
9.38 IPS |
|
|
Image Classification (F16)
|
100% |
74
7.90 IPS |
|
|
Image Classification (I8)
|
81% |
109
11.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
154
0.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
150
0.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
198
1.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
46
0.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
43
0.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
35
0.14 IPS |
|
|
Object Detection (F32)
|
100% |
98
3.43 IPS |
|
|
Object Detection (F16)
|
100% |
96
3.39 IPS |
|
|
Object Detection (I8)
|
52% |
139
4.89 IPS |
|
|
Face Detection (F32)
|
100% |
137
1.57 IPS |
|
|
Face Detection (F16)
|
100% |
135
1.55 IPS |
|
|
Face Detection (I8)
|
75% |
155
1.78 IPS |
|
|
Text Classification (F32)
|
100% |
162
64.2 IPS |
|
|
Text Classification (F16)
|
100% |
187
74.1 IPS |
|
|
Machine Translation (F32)
|
100% |
92
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
90
13.8 IPS |
