samsung SM-E055F
Geekbench ML Score
288
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 19 2025 01:38 AM |
| Views | 9 |
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% |
170
18.2 IPS |
|
|
Image Classification (F16)
|
100% |
353
37.8 IPS |
|
|
Image Classification (I8)
|
81% |
319
34.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
322
1.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
904
5.58 IPS |
|
|
Image Segmentation (I8)
|
89% |
892
5.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
93
0.38 IPS |
|
|
Pose Estimation (F16)
|
0% |
374
1.51 IPS |
|
|
Pose Estimation (I8)
|
0% |
358
1.45 IPS |
|
|
Object Detection (F32)
|
100% |
146
5.12 IPS |
|
|
Object Detection (F16)
|
99% |
260
9.13 IPS |
|
|
Object Detection (I8)
|
54% |
265
9.29 IPS |
|
|
Face Detection (F32)
|
100% |
350
4.02 IPS |
|
|
Face Detection (F16)
|
97% |
763
8.77 IPS |
|
|
Face Detection (I8)
|
75% |
634
7.29 IPS |
|
|
Text Classification (F32)
|
100% |
203
80.4 IPS |
|
|
Text Classification (F16)
|
46% |
359
142.1 IPS |
|
|
Machine Translation (F32)
|
100% |
79
12.2 IPS |
|
|
Machine Translation (F16)
|
100% |
91
14.0 IPS |
