samsung SM-M166P
Geekbench ML Score
181
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 09 2025 05:47 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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
89
9.54 IPS |
|
|
Image Classification (F16)
|
100% |
82
8.84 IPS |
|
|
Image Classification (I8)
|
81% |
116
12.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
311
1.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
308
1.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
464
2.87 IPS |
|
|
Pose Estimation (F32)
|
100% |
104
0.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
101
0.41 IPS |
|
|
Pose Estimation (I8)
|
80% |
107
0.43 IPS |
|
|
Object Detection (F32)
|
100% |
150
5.27 IPS |
|
|
Object Detection (F16)
|
100% |
143
5.01 IPS |
|
|
Object Detection (I8)
|
52% |
201
7.04 IPS |
|
|
Face Detection (F32)
|
100% |
290
3.33 IPS |
|
|
Face Detection (F16)
|
100% |
288
3.31 IPS |
|
|
Face Detection (I8)
|
75% |
292
3.36 IPS |
|
|
Text Classification (F32)
|
100% |
231
91.5 IPS |
|
|
Text Classification (F16)
|
100% |
238
94.1 IPS |
|
|
Machine Translation (F32)
|
100% |
182
28.1 IPS |
|
|
Machine Translation (F16)
|
100% |
180
27.7 IPS |
