samsung SM-M166P
Geekbench ML Score
357
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 22 2025 03:47 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
201
21.6 IPS |
|
|
Image Classification (F16)
|
100% |
567
60.8 IPS |
|
|
Image Classification (I8)
|
80% |
449
48.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
363
2.24 IPS |
|
|
Image Segmentation (F16)
|
100% |
506
3.12 IPS |
|
|
Image Segmentation (I8)
|
89% |
900
5.56 IPS |
|
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
567
2.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
294
1.19 IPS |
|
|
Object Detection (F32)
|
100% |
297
10.4 IPS |
|
|
Object Detection (F16)
|
99% |
501
17.6 IPS |
|
|
Object Detection (I8)
|
53% |
329
11.5 IPS |
|
|
Face Detection (F32)
|
25% |
538
6.18 IPS |
|
|
Face Detection (F16)
|
25% |
736
8.45 IPS |
|
|
Face Detection (I8)
|
75% |
572
6.57 IPS |
|
|
Text Classification (F32)
|
100% |
166
65.7 IPS |
|
|
Text Classification (F16)
|
100% |
161
63.7 IPS |
|
|
Machine Translation (F32)
|
100% |
174
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
176
27.1 IPS |
