samsung SM-A055F
Geekbench ML Score
258
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 23 2025 06:04 AM |
| Views | 5 |
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% |
171
18.3 IPS |
|
|
Image Classification (F16)
|
100% |
284
30.5 IPS |
|
|
Image Classification (I8)
|
81% |
300
32.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
325
2.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
906
5.60 IPS |
|
|
Image Segmentation (I8)
|
89% |
869
5.37 IPS |
|
|
Pose Estimation (F32)
|
100% |
94
0.38 IPS |
|
|
Pose Estimation (F16)
|
0% |
345
1.40 IPS |
|
|
Pose Estimation (I8)
|
0% |
319
1.29 IPS |
|
|
Object Detection (F32)
|
100% |
147
5.16 IPS |
|
|
Object Detection (F16)
|
99% |
222
7.80 IPS |
|
|
Object Detection (I8)
|
54% |
240
8.43 IPS |
|
|
Face Detection (F32)
|
100% |
348
4.00 IPS |
|
|
Face Detection (F16)
|
97% |
692
7.95 IPS |
|
|
Face Detection (I8)
|
75% |
609
7.00 IPS |
|
|
Text Classification (F32)
|
100% |
177
69.9 IPS |
|
|
Text Classification (F16)
|
46% |
182
72.1 IPS |
|
|
Machine Translation (F32)
|
100% |
69
10.6 IPS |
|
|
Machine Translation (F16)
|
100% |
69
10.7 IPS |
