samsung SM-A055F
Geekbench ML Score
285
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 29 2025 11:29 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 | 5.53 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% |
364
38.9 IPS |
|
|
Image Classification (I8)
|
81% |
338
36.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
321
1.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
888
5.48 IPS |
|
|
Image Segmentation (I8)
|
89% |
860
5.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
97
0.39 IPS |
|
|
Pose Estimation (F16)
|
0% |
360
1.46 IPS |
|
|
Pose Estimation (I8)
|
0% |
359
1.45 IPS |
|
|
Object Detection (F32)
|
100% |
161
5.67 IPS |
|
|
Object Detection (F16)
|
99% |
280
9.82 IPS |
|
|
Object Detection (I8)
|
54% |
286
10.0 IPS |
|
|
Face Detection (F32)
|
100% |
359
4.13 IPS |
|
|
Face Detection (F16)
|
97% |
766
8.80 IPS |
|
|
Face Detection (I8)
|
75% |
660
7.58 IPS |
|
|
Text Classification (F32)
|
100% |
190
75.0 IPS |
|
|
Text Classification (F16)
|
46% |
183
72.4 IPS |
|
|
Machine Translation (F32)
|
100% |
94
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
93
14.3 IPS |
