samsung SM-E055F
Geekbench ML Score
110
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 09:28 PM |
| Views | 7 |
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 | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
79
8.42 IPS |
|
|
Image Classification (F16)
|
100% |
74
7.93 IPS |
|
|
Image Classification (I8)
|
81% |
101
10.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
154
0.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
157
0.97 IPS |
|
|
Image Segmentation (I8)
|
89% |
347
2.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
48
0.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
46
0.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
73
0.29 IPS |
|
|
Object Detection (F32)
|
100% |
105
3.67 IPS |
|
|
Object Detection (F16)
|
100% |
107
3.75 IPS |
|
|
Object Detection (I8)
|
52% |
171
6.02 IPS |
|
|
Face Detection (F32)
|
100% |
149
1.71 IPS |
|
|
Face Detection (F16)
|
100% |
148
1.70 IPS |
|
|
Face Detection (I8)
|
75% |
230
2.64 IPS |
|
|
Text Classification (F32)
|
100% |
109
43.3 IPS |
|
|
Text Classification (F16)
|
100% |
109
43.0 IPS |
|
|
Machine Translation (F32)
|
100% |
86
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
86
13.2 IPS |
