samsung SM-A055F
Geekbench ML Score
273
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 23 2025 02:19 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% |
170
18.2 IPS |
|
|
Image Classification (F16)
|
100% |
347
37.2 IPS |
|
|
Image Classification (I8)
|
81% |
328
35.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
323
1.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
897
5.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
882
5.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
94
0.38 IPS |
|
|
Pose Estimation (F16)
|
0% |
368
1.49 IPS |
|
|
Pose Estimation (I8)
|
0% |
359
1.45 IPS |
|
|
Object Detection (F32)
|
100% |
146
5.11 IPS |
|
|
Object Detection (F16)
|
99% |
145
5.10 IPS |
|
|
Object Detection (I8)
|
54% |
239
8.38 IPS |
|
|
Face Detection (F32)
|
100% |
353
4.06 IPS |
|
|
Face Detection (F16)
|
97% |
741
8.51 IPS |
|
|
Face Detection (I8)
|
75% |
614
7.06 IPS |
|
|
Text Classification (F32)
|
100% |
194
76.9 IPS |
|
|
Text Classification (F16)
|
46% |
344
136.1 IPS |
|
|
Machine Translation (F32)
|
100% |
71
11.0 IPS |
|
|
Machine Translation (F16)
|
100% |
83
12.8 IPS |
