samsung SM-M166P
Geekbench ML Score
143
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 03:24 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% |
69
7.38 IPS |
|
|
Image Classification (F16)
|
100% |
67
7.15 IPS |
|
|
Image Classification (I8)
|
81% |
74
7.89 IPS |
|
|
Image Segmentation (F32)
|
100% |
236
1.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
243
1.50 IPS |
|
|
Image Segmentation (I8)
|
89% |
338
2.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
104
0.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
103
0.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
105
0.42 IPS |
|
|
Object Detection (F32)
|
100% |
110
3.86 IPS |
|
|
Object Detection (F16)
|
100% |
113
3.97 IPS |
|
|
Object Detection (I8)
|
52% |
124
4.35 IPS |
|
|
Face Detection (F32)
|
100% |
194
2.23 IPS |
|
|
Face Detection (F16)
|
100% |
196
2.25 IPS |
|
|
Face Detection (I8)
|
75% |
198
2.28 IPS |
|
|
Text Classification (F32)
|
100% |
181
71.4 IPS |
|
|
Text Classification (F16)
|
100% |
202
80.0 IPS |
|
|
Machine Translation (F32)
|
100% |
178
27.5 IPS |
|
|
Machine Translation (F16)
|
100% |
178
27.5 IPS |
