samsung SM-M166P
Geekbench ML Score
136
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 03:16 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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
65
6.95 IPS |
|
|
Image Classification (F16)
|
100% |
64
6.81 IPS |
|
|
Image Classification (I8)
|
81% |
70
7.51 IPS |
|
|
Image Segmentation (F32)
|
100% |
226
1.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
232
1.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
333
2.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
96
0.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
96
0.39 IPS |
|
|
Pose Estimation (I8)
|
80% |
99
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
112
3.93 IPS |
|
|
Object Detection (F16)
|
100% |
103
3.60 IPS |
|
|
Object Detection (I8)
|
52% |
120
4.20 IPS |
|
|
Face Detection (F32)
|
100% |
186
2.14 IPS |
|
|
Face Detection (F16)
|
100% |
186
2.14 IPS |
|
|
Face Detection (I8)
|
75% |
188
2.16 IPS |
|
|
Text Classification (F32)
|
100% |
180
71.1 IPS |
|
|
Text Classification (F16)
|
100% |
174
68.9 IPS |
|
|
Machine Translation (F32)
|
100% |
179
27.5 IPS |
|
|
Machine Translation (F16)
|
100% |
168
26.0 IPS |
