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 30 2025 02:17 AM |
| Views | 8 |
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% |
349
37.4 IPS |
|
|
Image Classification (I8)
|
81% |
312
33.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
325
2.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
907
5.60 IPS |
|
|
Image Segmentation (I8)
|
89% |
891
5.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
90
0.36 IPS |
|
|
Pose Estimation (F16)
|
0% |
360
1.46 IPS |
|
|
Pose Estimation (I8)
|
0% |
360
1.46 IPS |
|
|
Object Detection (F32)
|
100% |
161
5.66 IPS |
|
|
Object Detection (F16)
|
99% |
258
9.05 IPS |
|
|
Object Detection (I8)
|
54% |
260
9.11 IPS |
|
|
Face Detection (F32)
|
100% |
354
4.06 IPS |
|
|
Face Detection (F16)
|
97% |
717
8.24 IPS |
|
|
Face Detection (I8)
|
75% |
631
7.25 IPS |
|
|
Text Classification (F32)
|
100% |
199
78.9 IPS |
|
|
Text Classification (F16)
|
46% |
374
148.1 IPS |
|
|
Machine Translation (F32)
|
100% |
91
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
85
13.1 IPS |
