samsung SM-M166P
Geekbench ML Score
162
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 20 2024 12:33 AM |
| Views | 5 |
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 | 3.36 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
83
8.87 IPS |
|
|
Image Classification (F16)
|
100% |
80
8.55 IPS |
|
|
Image Classification (I8)
|
81% |
106
11.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
282
1.74 IPS |
|
|
Image Segmentation (F16)
|
100% |
280
1.73 IPS |
|
|
Image Segmentation (I8)
|
89% |
450
2.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
120
0.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
110
0.44 IPS |
|
|
Pose Estimation (I8)
|
80% |
125
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
110
3.87 IPS |
|
|
Object Detection (F16)
|
100% |
109
3.83 IPS |
|
|
Object Detection (I8)
|
52% |
179
6.27 IPS |
|
|
Face Detection (F32)
|
100% |
221
2.53 IPS |
|
|
Face Detection (F16)
|
100% |
189
2.17 IPS |
|
|
Face Detection (I8)
|
75% |
218
2.50 IPS |
|
|
Text Classification (F32)
|
100% |
157
61.9 IPS |
|
|
Text Classification (F16)
|
100% |
208
82.3 IPS |
|
|
Machine Translation (F32)
|
100% |
193
29.8 IPS |
|
|
Machine Translation (F16)
|
100% |
198
30.6 IPS |
