samsung SM-E055F
Geekbench ML Score
292
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 22 2025 03:29 PM |
| 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% |
167
17.9 IPS |
|
|
Image Classification (F16)
|
100% |
362
38.8 IPS |
|
|
Image Classification (I8)
|
81% |
330
35.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
321
1.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
912
5.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
897
5.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
89
0.36 IPS |
|
|
Pose Estimation (F16)
|
0% |
375
1.52 IPS |
|
|
Pose Estimation (I8)
|
0% |
369
1.49 IPS |
|
|
Object Detection (F32)
|
100% |
162
5.67 IPS |
|
|
Object Detection (F16)
|
99% |
268
9.41 IPS |
|
|
Object Detection (I8)
|
54% |
266
9.32 IPS |
|
|
Face Detection (F32)
|
100% |
356
4.09 IPS |
|
|
Face Detection (F16)
|
97% |
772
8.87 IPS |
|
|
Face Detection (I8)
|
75% |
678
7.79 IPS |
|
|
Text Classification (F32)
|
100% |
217
85.7 IPS |
|
|
Text Classification (F16)
|
46% |
384
151.8 IPS |
|
|
Machine Translation (F32)
|
100% |
80
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
80
12.3 IPS |
