samsung SM-M166P
Geekbench ML Score
138
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 09 2025 06:16 PM |
| Views | 2 |
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 | 6.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
67
7.14 IPS |
|
|
Image Classification (F16)
|
100% |
66
7.04 IPS |
|
|
Image Classification (I8)
|
81% |
78
8.36 IPS |
|
|
Image Segmentation (F32)
|
100% |
228
1.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
230
1.42 IPS |
|
|
Image Segmentation (I8)
|
89% |
357
2.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
100
0.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
101
0.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
110
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
106
3.73 IPS |
|
|
Object Detection (F16)
|
100% |
103
3.61 IPS |
|
|
Object Detection (I8)
|
52% |
123
4.32 IPS |
|
|
Face Detection (F32)
|
100% |
184
2.11 IPS |
|
|
Face Detection (F16)
|
100% |
184
2.11 IPS |
|
|
Face Detection (I8)
|
75% |
216
2.49 IPS |
|
|
Text Classification (F32)
|
100% |
174
68.8 IPS |
|
|
Text Classification (F16)
|
100% |
167
66.2 IPS |
|
|
Machine Translation (F32)
|
100% |
154
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
164
25.2 IPS |
