samsung SM-M166P
Geekbench ML Score
155
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 06:16 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-M166P |
| Model ID | samsung SM-M166P |
| Motherboard | m16xm |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
73
7.81 IPS |
|
|
Image Classification (F16)
|
100% |
72
7.72 IPS |
|
|
Image Classification (I8)
|
81% |
96
10.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
249
1.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
242
1.50 IPS |
|
|
Image Segmentation (I8)
|
89% |
396
2.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
105
0.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
106
0.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
114
0.46 IPS |
|
|
Object Detection (F32)
|
100% |
114
3.99 IPS |
|
|
Object Detection (F16)
|
100% |
117
4.09 IPS |
|
|
Object Detection (I8)
|
52% |
157
5.52 IPS |
|
|
Face Detection (F32)
|
100% |
206
2.37 IPS |
|
|
Face Detection (F16)
|
100% |
207
2.37 IPS |
|
|
Face Detection (I8)
|
75% |
249
2.86 IPS |
|
|
Text Classification (F32)
|
100% |
200
79.0 IPS |
|
|
Text Classification (F16)
|
100% |
203
80.2 IPS |
|
|
Machine Translation (F32)
|
100% |
186
28.7 IPS |
|
|
Machine Translation (F16)
|
100% |
173
26.7 IPS |
