samsung SM-A055F
Geekbench ML Score
290
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 28 2025 10:14 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
18.3 IPS |
|
|
Image Classification (F16)
|
100% |
355
38.0 IPS |
|
|
Image Classification (I8)
|
81% |
333
35.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
319
1.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
930
5.74 IPS |
|
|
Image Segmentation (I8)
|
89% |
913
5.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
95
0.38 IPS |
|
|
Pose Estimation (F16)
|
0% |
380
1.54 IPS |
|
|
Pose Estimation (I8)
|
0% |
378
1.53 IPS |
|
|
Object Detection (F32)
|
100% |
170
5.95 IPS |
|
|
Object Detection (F16)
|
99% |
293
10.3 IPS |
|
|
Object Detection (I8)
|
54% |
290
10.2 IPS |
|
|
Face Detection (F32)
|
100% |
358
4.12 IPS |
|
|
Face Detection (F16)
|
97% |
773
8.88 IPS |
|
|
Face Detection (I8)
|
75% |
683
7.85 IPS |
|
|
Text Classification (F32)
|
100% |
193
76.2 IPS |
|
|
Text Classification (F16)
|
46% |
189
74.8 IPS |
|
|
Machine Translation (F32)
|
100% |
95
14.6 IPS |
|
|
Machine Translation (F16)
|
100% |
89
13.7 IPS |
