samsung SM-M166P
Geekbench ML Score
147
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 02:52 PM |
| Views | 1 |
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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
70
7.50 IPS |
|
|
Image Classification (F16)
|
100% |
68
7.31 IPS |
|
|
Image Classification (I8)
|
81% |
73
7.79 IPS |
|
|
Image Segmentation (F32)
|
100% |
242
1.49 IPS |
|
|
Image Segmentation (F16)
|
100% |
252
1.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
363
2.24 IPS |
|
|
Pose Estimation (F32)
|
100% |
108
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
110
0.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
117
0.47 IPS |
|
|
Object Detection (F32)
|
100% |
113
3.96 IPS |
|
|
Object Detection (F16)
|
100% |
113
3.97 IPS |
|
|
Object Detection (I8)
|
52% |
131
4.59 IPS |
|
|
Face Detection (F32)
|
100% |
199
2.28 IPS |
|
|
Face Detection (F16)
|
100% |
201
2.30 IPS |
|
|
Face Detection (I8)
|
75% |
202
2.32 IPS |
|
|
Text Classification (F32)
|
100% |
187
74.0 IPS |
|
|
Text Classification (F16)
|
100% |
188
74.3 IPS |
|
|
Machine Translation (F32)
|
100% |
179
27.6 IPS |
|
|
Machine Translation (F16)
|
100% |
177
27.3 IPS |
