samsung SM-A127F
Geekbench ML Score
61
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Acux6 |
| Upload Date | November 29 2025 02:59 PM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-A127F |
| Model ID | samsung SM-A127F |
| Motherboard | exynos850 |
| Governor | energy_step |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3333 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.61 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
50
5.33 IPS |
|
|
Image Classification (F16)
|
100% |
50
5.33 IPS |
|
|
Image Classification (I8)
|
81% |
63
6.78 IPS |
|
|
Image Segmentation (F32)
|
100% |
109
0.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
109
0.67 IPS |
|
|
Image Segmentation (I8)
|
89% |
113
0.70 IPS |
|
|
Pose Estimation (F32)
|
100% |
49
0.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
49
0.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
18
0.07 IPS |
|
|
Object Detection (F32)
|
100% |
68
2.38 IPS |
|
|
Object Detection (F16)
|
100% |
69
2.43 IPS |
|
|
Object Detection (I8)
|
52% |
79
2.76 IPS |
|
|
Face Detection (F32)
|
100% |
103
1.18 IPS |
|
|
Face Detection (F16)
|
100% |
103
1.18 IPS |
|
|
Face Detection (I8)
|
75% |
91
1.05 IPS |
|
|
Text Classification (F32)
|
100% |
93
36.8 IPS |
|
|
Text Classification (F16)
|
100% |
92
36.4 IPS |
|
|
Machine Translation (F32)
|
100% |
19
2.96 IPS |
|
|
Machine Translation (F16)
|
100% |
19
2.95 IPS |
