samsung SM-A055F
Geekbench ML Score
111
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 18 2025 01:54 AM |
| 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 | 3.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
89
9.54 IPS |
|
|
Image Classification (F16)
|
100% |
74
7.95 IPS |
|
|
Image Classification (I8)
|
81% |
112
12.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
152
0.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
149
0.92 IPS |
|
|
Image Segmentation (I8)
|
89% |
367
2.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
48
0.19 IPS |
|
|
Pose Estimation (F16)
|
100% |
47
0.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
79
0.32 IPS |
|
|
Object Detection (F32)
|
100% |
104
3.65 IPS |
|
|
Object Detection (F16)
|
100% |
102
3.58 IPS |
|
|
Object Detection (I8)
|
52% |
157
5.50 IPS |
|
|
Face Detection (F32)
|
100% |
149
1.71 IPS |
|
|
Face Detection (F16)
|
100% |
145
1.67 IPS |
|
|
Face Detection (I8)
|
75% |
222
2.55 IPS |
|
|
Text Classification (F32)
|
100% |
113
44.7 IPS |
|
|
Text Classification (F16)
|
100% |
111
44.0 IPS |
|
|
Machine Translation (F32)
|
100% |
83
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
80
12.3 IPS |
