samsung SM-M166P
Geekbench ML Score
220
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 05:39 PM |
| Views | 6 |
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% |
104
11.2 IPS |
|
|
Image Classification (F16)
|
100% |
96
10.3 IPS |
|
|
Image Classification (I8)
|
81% |
149
15.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
358
2.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
360
2.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
597
3.69 IPS |
|
|
Pose Estimation (F32)
|
100% |
146
0.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
145
0.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
150
0.61 IPS |
|
|
Object Detection (F32)
|
100% |
170
5.97 IPS |
|
|
Object Detection (F16)
|
100% |
167
5.87 IPS |
|
|
Object Detection (I8)
|
52% |
255
8.96 IPS |
|
|
Face Detection (F32)
|
100% |
324
3.72 IPS |
|
|
Face Detection (F16)
|
100% |
323
3.71 IPS |
|
|
Face Detection (I8)
|
75% |
375
4.31 IPS |
|
|
Text Classification (F32)
|
100% |
289
114.3 IPS |
|
|
Text Classification (F16)
|
100% |
288
114.1 IPS |
|
|
Machine Translation (F32)
|
100% |
202
31.2 IPS |
|
|
Machine Translation (F16)
|
100% |
196
30.2 IPS |
