samsung SM-A055F
Geekbench ML Score
271
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 10:15 PM |
| Views | 1 |
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% |
170
18.2 IPS |
|
|
Image Classification (F16)
|
100% |
358
38.4 IPS |
|
|
Image Classification (I8)
|
81% |
322
34.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
322
1.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
905
5.59 IPS |
|
|
Image Segmentation (I8)
|
89% |
890
5.50 IPS |
|
|
Pose Estimation (F32)
|
100% |
96
0.39 IPS |
|
|
Pose Estimation (F16)
|
0% |
368
1.49 IPS |
|
|
Pose Estimation (I8)
|
0% |
363
1.47 IPS |
|
|
Object Detection (F32)
|
100% |
159
5.57 IPS |
|
|
Object Detection (F16)
|
99% |
261
9.16 IPS |
|
|
Object Detection (I8)
|
54% |
267
9.36 IPS |
|
|
Face Detection (F32)
|
100% |
355
4.07 IPS |
|
|
Face Detection (F16)
|
97% |
740
8.50 IPS |
|
|
Face Detection (I8)
|
75% |
635
7.29 IPS |
|
|
Text Classification (F32)
|
100% |
113
44.8 IPS |
|
|
Text Classification (F16)
|
46% |
165
65.1 IPS |
|
|
Machine Translation (F32)
|
100% |
92
14.2 IPS |
|
|
Machine Translation (F16)
|
100% |
84
13.0 IPS |
