samsung SM-M166P
Geekbench ML Score
317
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 06:23 PM |
| Views | 3 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
194
20.8 IPS |
|
|
Image Classification (F16)
|
100% |
539
57.8 IPS |
|
|
Image Classification (I8)
|
80% |
337
36.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
359
2.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
463
2.86 IPS |
|
|
Image Segmentation (I8)
|
89% |
713
4.41 IPS |
|
|
Pose Estimation (F32)
|
100% |
246
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
562
2.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
221
0.89 IPS |
|
|
Object Detection (F32)
|
100% |
283
9.93 IPS |
|
|
Object Detection (F16)
|
99% |
457
16.0 IPS |
|
|
Object Detection (I8)
|
53% |
245
8.58 IPS |
|
|
Face Detection (F32)
|
25% |
501
5.76 IPS |
|
|
Face Detection (F16)
|
25% |
705
8.11 IPS |
|
|
Face Detection (I8)
|
75% |
432
4.97 IPS |
|
|
Text Classification (F32)
|
100% |
134
52.9 IPS |
|
|
Text Classification (F16)
|
100% |
118
46.8 IPS |
|
|
Machine Translation (F32)
|
100% |
187
28.8 IPS |
|
|
Machine Translation (F16)
|
100% |
192
29.7 IPS |
