samsung SM-M166P
Geekbench ML Score
137
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 23 2025 06:07 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% |
65
6.97 IPS |
|
|
Image Classification (F16)
|
100% |
66
7.07 IPS |
|
|
Image Classification (I8)
|
81% |
72
7.75 IPS |
|
|
Image Segmentation (F32)
|
100% |
229
1.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
225
1.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
347
2.14 IPS |
|
|
Pose Estimation (F32)
|
100% |
97
0.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
98
0.40 IPS |
|
|
Pose Estimation (I8)
|
80% |
100
0.40 IPS |
|
|
Object Detection (F32)
|
100% |
103
3.63 IPS |
|
|
Object Detection (F16)
|
100% |
101
3.54 IPS |
|
|
Object Detection (I8)
|
52% |
120
4.22 IPS |
|
|
Face Detection (F32)
|
100% |
188
2.16 IPS |
|
|
Face Detection (F16)
|
100% |
192
2.20 IPS |
|
|
Face Detection (I8)
|
75% |
199
2.28 IPS |
|
|
Text Classification (F32)
|
100% |
179
71.0 IPS |
|
|
Text Classification (F16)
|
100% |
175
69.1 IPS |
|
|
Machine Translation (F32)
|
100% |
168
25.9 IPS |
|
|
Machine Translation (F16)
|
100% |
171
26.4 IPS |
