samsung SM-A127F
Geekbench ML Score
168
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2022 05:27 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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 | 3.62 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
113
12.1 IPS |
|
|
Image Classification (F16)
|
100% |
230
24.6 IPS |
|
|
Image Classification (I8)
|
81% |
227
24.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
209
1.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
588
3.63 IPS |
|
|
Image Segmentation (I8)
|
89% |
601
3.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
69
0.28 IPS |
|
|
Pose Estimation (F16)
|
0% |
233
0.94 IPS |
|
|
Pose Estimation (I8)
|
0% |
232
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
102
3.57 IPS |
|
|
Object Detection (F16)
|
99% |
171
6.00 IPS |
|
|
Object Detection (I8)
|
54% |
168
5.91 IPS |
|
|
Face Detection (F32)
|
100% |
209
2.40 IPS |
|
|
Face Detection (F16)
|
97% |
443
5.09 IPS |
|
|
Face Detection (I8)
|
75% |
404
4.64 IPS |
|
|
Text Classification (F32)
|
100% |
131
51.8 IPS |
|
|
Text Classification (F16)
|
46% |
236
93.3 IPS |
|
|
Machine Translation (F32)
|
100% |
19
2.96 IPS |
|
|
Machine Translation (F16)
|
100% |
19
2.96 IPS |
