samsung SM-A055F
Geekbench ML Score
263
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 23 2025 04:30 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A055F |
| Model ID | samsung SM-A055F |
| 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% |
162
17.3 IPS |
|
|
Image Classification (F16)
|
100% |
325
34.8 IPS |
|
|
Image Classification (I8)
|
81% |
304
32.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
322
1.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
893
5.51 IPS |
|
|
Image Segmentation (I8)
|
89% |
860
5.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
82
0.33 IPS |
|
|
Pose Estimation (F16)
|
0% |
356
1.44 IPS |
|
|
Pose Estimation (I8)
|
0% |
335
1.35 IPS |
|
|
Object Detection (F32)
|
100% |
134
4.72 IPS |
|
|
Object Detection (F16)
|
99% |
240
8.42 IPS |
|
|
Object Detection (I8)
|
54% |
249
8.72 IPS |
|
|
Face Detection (F32)
|
100% |
346
3.98 IPS |
|
|
Face Detection (F16)
|
97% |
656
7.54 IPS |
|
|
Face Detection (I8)
|
75% |
572
6.57 IPS |
|
|
Text Classification (F32)
|
100% |
188
74.4 IPS |
|
|
Text Classification (F16)
|
46% |
217
85.9 IPS |
|
|
Machine Translation (F32)
|
100% |
75
11.5 IPS |
|
|
Machine Translation (F16)
|
100% |
78
12.1 IPS |
