samsung SM-M166P
Geekbench ML Score
166
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 09 2025 05:44 PM |
| Views | 7 |
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% |
82
8.75 IPS |
|
|
Image Classification (F16)
|
100% |
81
8.65 IPS |
|
|
Image Classification (I8)
|
81% |
105
11.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
311
1.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
313
1.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
466
2.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
107
0.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
105
0.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
108
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
139
4.89 IPS |
|
|
Object Detection (F16)
|
100% |
112
3.92 IPS |
|
|
Object Detection (I8)
|
52% |
190
6.66 IPS |
|
|
Face Detection (F32)
|
100% |
202
2.32 IPS |
|
|
Face Detection (F16)
|
100% |
204
2.34 IPS |
|
|
Face Detection (I8)
|
75% |
249
2.86 IPS |
|
|
Text Classification (F32)
|
100% |
168
66.5 IPS |
|
|
Text Classification (F16)
|
100% |
238
94.1 IPS |
|
|
Machine Translation (F32)
|
100% |
194
29.9 IPS |
|
|
Machine Translation (F16)
|
100% |
170
26.3 IPS |
