samsung SM-E055F
Geekbench ML Score
285
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 30 2025 01:32 AM |
| Views | 4 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
169
18.1 IPS |
|
|
Image Classification (F16)
|
100% |
356
38.1 IPS |
|
|
Image Classification (I8)
|
81% |
312
33.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
325
2.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
902
5.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
877
5.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
87
0.35 IPS |
|
|
Pose Estimation (F16)
|
0% |
359
1.45 IPS |
|
|
Pose Estimation (I8)
|
0% |
360
1.45 IPS |
|
|
Object Detection (F32)
|
100% |
156
5.46 IPS |
|
|
Object Detection (F16)
|
99% |
247
8.68 IPS |
|
|
Object Detection (I8)
|
54% |
258
9.04 IPS |
|
|
Face Detection (F32)
|
100% |
350
4.02 IPS |
|
|
Face Detection (F16)
|
97% |
715
8.21 IPS |
|
|
Face Detection (I8)
|
75% |
646
7.42 IPS |
|
|
Text Classification (F32)
|
100% |
194
76.7 IPS |
|
|
Text Classification (F16)
|
46% |
381
150.6 IPS |
|
|
Machine Translation (F32)
|
100% |
81
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
89
13.8 IPS |
