samsung SM-M166P
Geekbench ML Score
201
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 01 2025 03:05 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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
95
10.2 IPS |
|
|
Image Classification (F16)
|
100% |
90
9.61 IPS |
|
|
Image Classification (I8)
|
81% |
136
14.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
352
2.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
344
2.13 IPS |
|
|
Image Segmentation (I8)
|
89% |
541
3.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
123
0.50 IPS |
|
|
Pose Estimation (F16)
|
100% |
114
0.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
136
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
145
5.08 IPS |
|
|
Object Detection (F16)
|
100% |
154
5.40 IPS |
|
|
Object Detection (I8)
|
52% |
256
8.98 IPS |
|
|
Face Detection (F32)
|
100% |
305
3.50 IPS |
|
|
Face Detection (F16)
|
100% |
292
3.36 IPS |
|
|
Face Detection (I8)
|
75% |
311
3.57 IPS |
|
|
Text Classification (F32)
|
100% |
251
99.1 IPS |
|
|
Text Classification (F16)
|
100% |
272
107.5 IPS |
|
|
Machine Translation (F32)
|
100% |
188
29.0 IPS |
|
|
Machine Translation (F16)
|
100% |
203
31.2 IPS |
