samsung SM-E055F
Geekbench ML Score
124
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 01 2025 09:21 AM |
| Views | 3 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
87
9.34 IPS |
|
|
Image Classification (F16)
|
100% |
84
9.00 IPS |
|
|
Image Classification (I8)
|
81% |
120
12.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
172
1.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
175
1.08 IPS |
|
|
Image Segmentation (I8)
|
89% |
377
2.33 IPS |
|
|
Pose Estimation (F32)
|
100% |
53
0.22 IPS |
|
|
Pose Estimation (F16)
|
100% |
53
0.21 IPS |
|
|
Pose Estimation (I8)
|
80% |
82
0.33 IPS |
|
|
Object Detection (F32)
|
100% |
123
4.30 IPS |
|
|
Object Detection (F16)
|
100% |
124
4.34 IPS |
|
|
Object Detection (I8)
|
52% |
175
6.13 IPS |
|
|
Face Detection (F32)
|
100% |
169
1.94 IPS |
|
|
Face Detection (F16)
|
100% |
163
1.88 IPS |
|
|
Face Detection (I8)
|
75% |
258
2.96 IPS |
|
|
Text Classification (F32)
|
100% |
116
46.1 IPS |
|
|
Text Classification (F16)
|
100% |
147
58.0 IPS |
|
|
Machine Translation (F32)
|
100% |
93
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
94
14.5 IPS |
