samsung SM-M166P
Geekbench ML Score
406
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 05:50 PM |
| 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 | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
197
21.1 IPS |
|
|
Image Classification (F16)
|
100% |
574
61.5 IPS |
|
|
Image Classification (I8)
|
80% |
705
75.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
376
2.32 IPS |
|
|
Image Segmentation (F16)
|
100% |
552
3.41 IPS |
|
|
Image Segmentation (I8)
|
89% |
1150
7.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
251
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
562
2.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
370
1.50 IPS |
|
|
Object Detection (F32)
|
100% |
312
10.9 IPS |
|
|
Object Detection (F16)
|
99% |
546
19.2 IPS |
|
|
Object Detection (I8)
|
53% |
293
10.3 IPS |
|
|
Face Detection (F32)
|
25% |
530
6.08 IPS |
|
|
Face Detection (F16)
|
25% |
765
8.78 IPS |
|
|
Face Detection (I8)
|
75% |
801
9.21 IPS |
|
|
Text Classification (F32)
|
100% |
220
86.9 IPS |
|
|
Text Classification (F16)
|
100% |
226
89.3 IPS |
|
|
Machine Translation (F32)
|
100% |
217
33.4 IPS |
|
|
Machine Translation (F16)
|
100% |
220
34.0 IPS |
