samsung SM-M166P
Geekbench ML Score
182
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 25 2025 07:17 PM |
| Views | 12 |
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 | 5.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
90
9.66 IPS |
|
|
Image Classification (F16)
|
100% |
81
8.70 IPS |
|
|
Image Classification (I8)
|
81% |
127
13.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
323
1.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
339
2.10 IPS |
|
|
Image Segmentation (I8)
|
89% |
515
3.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
109
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
110
0.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
112
0.45 IPS |
|
|
Object Detection (F32)
|
100% |
117
4.11 IPS |
|
|
Object Detection (F16)
|
100% |
119
4.16 IPS |
|
|
Object Detection (I8)
|
52% |
183
6.42 IPS |
|
|
Face Detection (F32)
|
100% |
286
3.28 IPS |
|
|
Face Detection (F16)
|
100% |
289
3.32 IPS |
|
|
Face Detection (I8)
|
75% |
312
3.59 IPS |
|
|
Text Classification (F32)
|
100% |
247
97.5 IPS |
|
|
Text Classification (F16)
|
100% |
251
99.4 IPS |
|
|
Machine Translation (F32)
|
100% |
173
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
181
28.0 IPS |
