samsung SM-A127F
Geekbench ML Score
179
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| User | Acux6 |
| Upload Date | November 29 2025 02:29 PM |
| Views | 14 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
121
13.0 IPS |
|
|
Image Classification (F16)
|
100% |
268
28.7 IPS |
|
|
Image Classification (I8)
|
81% |
255
27.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
211
1.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
625
3.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
651
4.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
62
0.25 IPS |
|
|
Pose Estimation (F16)
|
0% |
239
0.97 IPS |
|
|
Pose Estimation (I8)
|
0% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
106
3.71 IPS |
|
|
Object Detection (F16)
|
99% |
176
6.16 IPS |
|
|
Object Detection (I8)
|
54% |
174
6.10 IPS |
|
|
Face Detection (F32)
|
100% |
218
2.50 IPS |
|
|
Face Detection (F16)
|
97% |
495
5.69 IPS |
|
|
Face Detection (I8)
|
75% |
461
5.29 IPS |
|
|
Text Classification (F32)
|
100% |
162
64.1 IPS |
|
|
Text Classification (F16)
|
46% |
283
112.1 IPS |
|
|
Machine Translation (F32)
|
100% |
19
2.97 IPS |
|
|
Machine Translation (F16)
|
100% |
19
2.96 IPS |
