samsung SM-M166P
Geekbench ML Score
221
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 06:04 PM |
| Views | 1 |
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 | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
102
10.9 IPS |
|
|
Image Classification (F16)
|
100% |
95
10.1 IPS |
|
|
Image Classification (I8)
|
81% |
164
17.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
357
2.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
375
2.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
577
3.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
145
0.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
146
0.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
155
0.63 IPS |
|
|
Object Detection (F32)
|
100% |
169
5.94 IPS |
|
|
Object Detection (F16)
|
100% |
167
5.88 IPS |
|
|
Object Detection (I8)
|
52% |
251
8.81 IPS |
|
|
Face Detection (F32)
|
100% |
320
3.68 IPS |
|
|
Face Detection (F16)
|
100% |
322
3.70 IPS |
|
|
Face Detection (I8)
|
75% |
369
4.24 IPS |
|
|
Text Classification (F32)
|
100% |
284
112.2 IPS |
|
|
Text Classification (F16)
|
100% |
290
114.8 IPS |
|
|
Machine Translation (F32)
|
100% |
207
31.8 IPS |
|
|
Machine Translation (F16)
|
100% |
196
30.2 IPS |
