samsung SM-M166P
Geekbench ML Score
211
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 12:45 AM |
| Views | 2 |
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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
89
9.57 IPS |
|
|
Image Classification (F16)
|
100% |
89
9.57 IPS |
|
|
Image Classification (I8)
|
81% |
154
16.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
358
2.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
361
2.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
622
3.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
137
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
135
0.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
142
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
157
5.49 IPS |
|
|
Object Detection (F16)
|
100% |
153
5.37 IPS |
|
|
Object Detection (I8)
|
52% |
254
8.90 IPS |
|
|
Face Detection (F32)
|
100% |
298
3.42 IPS |
|
|
Face Detection (F16)
|
100% |
296
3.40 IPS |
|
|
Face Detection (I8)
|
75% |
342
3.93 IPS |
|
|
Text Classification (F32)
|
100% |
284
112.4 IPS |
|
|
Text Classification (F16)
|
100% |
277
109.4 IPS |
|
|
Machine Translation (F32)
|
100% |
203
31.3 IPS |
|
|
Machine Translation (F16)
|
100% |
198
30.5 IPS |
