samsung SM-M166P
Geekbench ML Score
186
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 26 2025 12:03 PM |
| Views | 6 |
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% |
93
9.92 IPS |
|
|
Image Classification (F16)
|
100% |
91
9.72 IPS |
|
|
Image Classification (I8)
|
81% |
139
14.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
338
2.09 IPS |
|
|
Image Segmentation (F16)
|
100% |
339
2.09 IPS |
|
|
Image Segmentation (I8)
|
89% |
513
3.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
111
0.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
110
0.45 IPS |
|
|
Pose Estimation (I8)
|
80% |
108
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
138
4.84 IPS |
|
|
Object Detection (F16)
|
100% |
140
4.92 IPS |
|
|
Object Detection (I8)
|
52% |
198
6.93 IPS |
|
|
Face Detection (F32)
|
100% |
275
3.16 IPS |
|
|
Face Detection (F16)
|
100% |
269
3.09 IPS |
|
|
Face Detection (I8)
|
75% |
244
2.81 IPS |
|
|
Text Classification (F32)
|
100% |
242
95.7 IPS |
|
|
Text Classification (F16)
|
100% |
236
93.5 IPS |
|
|
Machine Translation (F32)
|
100% |
194
29.9 IPS |
|
|
Machine Translation (F16)
|
100% |
194
29.8 IPS |
