samsung SM-A055F
Geekbench ML Score
279
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 23 2025 02:11 AM |
| Views | 3 |
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% |
169
18.1 IPS |
|
|
Image Classification (F16)
|
100% |
332
35.6 IPS |
|
|
Image Classification (I8)
|
81% |
300
32.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
321
1.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
914
5.65 IPS |
|
|
Image Segmentation (I8)
|
89% |
883
5.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
84
0.34 IPS |
|
|
Pose Estimation (F16)
|
0% |
368
1.49 IPS |
|
|
Pose Estimation (I8)
|
0% |
361
1.46 IPS |
|
|
Object Detection (F32)
|
100% |
148
5.20 IPS |
|
|
Object Detection (F16)
|
99% |
264
9.27 IPS |
|
|
Object Detection (I8)
|
54% |
240
8.42 IPS |
|
|
Face Detection (F32)
|
100% |
347
3.98 IPS |
|
|
Face Detection (F16)
|
97% |
713
8.19 IPS |
|
|
Face Detection (I8)
|
75% |
637
7.32 IPS |
|
|
Text Classification (F32)
|
100% |
197
77.8 IPS |
|
|
Text Classification (F16)
|
46% |
296
117.1 IPS |
|
|
Machine Translation (F32)
|
100% |
85
13.1 IPS |
|
|
Machine Translation (F16)
|
100% |
83
12.9 IPS |
