samsung SM-M166P
Geekbench ML Score
205
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 01 2025 03:26 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% |
93
9.98 IPS |
|
|
Image Classification (F16)
|
100% |
93
9.97 IPS |
|
|
Image Classification (I8)
|
81% |
132
14.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
359
2.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
361
2.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
531
3.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
137
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
139
0.56 IPS |
|
|
Pose Estimation (I8)
|
80% |
143
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
153
5.37 IPS |
|
|
Object Detection (F16)
|
100% |
157
5.51 IPS |
|
|
Object Detection (I8)
|
52% |
215
7.54 IPS |
|
|
Face Detection (F32)
|
100% |
303
3.48 IPS |
|
|
Face Detection (F16)
|
100% |
305
3.50 IPS |
|
|
Face Detection (I8)
|
75% |
298
3.43 IPS |
|
|
Text Classification (F32)
|
100% |
262
103.8 IPS |
|
|
Text Classification (F16)
|
100% |
270
106.9 IPS |
|
|
Machine Translation (F32)
|
100% |
195
30.0 IPS |
|
|
Machine Translation (F16)
|
100% |
205
31.6 IPS |
