samsung SM-M166P
Geekbench ML Score
139
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 21 2025 04:47 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 | 7.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
75
8.05 IPS |
|
|
Image Classification (F16)
|
100% |
71
7.57 IPS |
|
|
Image Classification (I8)
|
81% |
87
9.35 IPS |
|
|
Image Segmentation (F32)
|
100% |
219
1.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
218
1.35 IPS |
|
|
Image Segmentation (I8)
|
89% |
358
2.21 IPS |
|
|
Pose Estimation (F32)
|
100% |
95
0.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
96
0.39 IPS |
|
|
Pose Estimation (I8)
|
80% |
100
0.41 IPS |
|
|
Object Detection (F32)
|
100% |
106
3.72 IPS |
|
|
Object Detection (F16)
|
100% |
101
3.54 IPS |
|
|
Object Detection (I8)
|
52% |
131
4.61 IPS |
|
|
Face Detection (F32)
|
100% |
183
2.10 IPS |
|
|
Face Detection (F16)
|
100% |
181
2.07 IPS |
|
|
Face Detection (I8)
|
75% |
203
2.33 IPS |
|
|
Text Classification (F32)
|
100% |
174
68.6 IPS |
|
|
Text Classification (F16)
|
100% |
179
70.9 IPS |
|
|
Machine Translation (F32)
|
100% |
166
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
161
24.8 IPS |
