samsung SM-M166P
Geekbench ML Score
171
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 19 2024 10:35 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
80
8.56 IPS |
|
|
Image Classification (F16)
|
100% |
80
8.59 IPS |
|
|
Image Classification (I8)
|
81% |
102
10.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
253
1.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
285
1.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
438
2.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
122
0.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
120
0.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
132
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
131
4.60 IPS |
|
|
Object Detection (F16)
|
100% |
128
4.50 IPS |
|
|
Object Detection (I8)
|
52% |
172
6.05 IPS |
|
|
Face Detection (F32)
|
100% |
227
2.61 IPS |
|
|
Face Detection (F16)
|
100% |
230
2.64 IPS |
|
|
Face Detection (I8)
|
75% |
265
3.05 IPS |
|
|
Text Classification (F32)
|
100% |
236
93.2 IPS |
|
|
Text Classification (F16)
|
100% |
211
83.5 IPS |
|
|
Machine Translation (F32)
|
100% |
179
27.5 IPS |
|
|
Machine Translation (F16)
|
100% |
193
29.7 IPS |
