samsung SM-M166P
Geekbench ML Score
157
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 01 2025 03:28 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
75
8.06 IPS |
|
|
Image Classification (F16)
|
100% |
74
7.88 IPS |
|
|
Image Classification (I8)
|
81% |
85
9.11 IPS |
|
|
Image Segmentation (F32)
|
100% |
248
1.53 IPS |
|
|
Image Segmentation (F16)
|
100% |
260
1.61 IPS |
|
|
Image Segmentation (I8)
|
89% |
406
2.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
110
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
109
0.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
116
0.47 IPS |
|
|
Object Detection (F32)
|
100% |
120
4.21 IPS |
|
|
Object Detection (F16)
|
100% |
118
4.16 IPS |
|
|
Object Detection (I8)
|
52% |
146
5.14 IPS |
|
|
Face Detection (F32)
|
100% |
213
2.45 IPS |
|
|
Face Detection (F16)
|
100% |
212
2.44 IPS |
|
|
Face Detection (I8)
|
75% |
238
2.74 IPS |
|
|
Text Classification (F32)
|
100% |
192
75.8 IPS |
|
|
Text Classification (F16)
|
100% |
218
86.3 IPS |
|
|
Machine Translation (F32)
|
100% |
184
28.4 IPS |
|
|
Machine Translation (F16)
|
100% |
180
27.8 IPS |
