samsung SM-M166P
Geekbench ML Score
175
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 14 2025 12:37 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
87
9.37 IPS |
|
|
Image Classification (F16)
|
100% |
80
8.58 IPS |
|
|
Image Classification (I8)
|
81% |
121
13.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
308
1.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
303
1.87 IPS |
|
|
Image Segmentation (I8)
|
89% |
461
2.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
116
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
106
0.43 IPS |
|
|
Pose Estimation (I8)
|
80% |
115
0.47 IPS |
|
|
Object Detection (F32)
|
100% |
130
4.58 IPS |
|
|
Object Detection (F16)
|
100% |
131
4.60 IPS |
|
|
Object Detection (I8)
|
52% |
181
6.36 IPS |
|
|
Face Detection (F32)
|
100% |
263
3.02 IPS |
|
|
Face Detection (F16)
|
100% |
261
3.00 IPS |
|
|
Face Detection (I8)
|
75% |
261
3.00 IPS |
|
|
Text Classification (F32)
|
100% |
220
86.9 IPS |
|
|
Text Classification (F16)
|
100% |
224
88.7 IPS |
|
|
Machine Translation (F32)
|
100% |
176
27.1 IPS |
|
|
Machine Translation (F16)
|
100% |
176
27.2 IPS |
