samsung SM-M166P
Geekbench ML Score
358
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 22 2025 05:49 PM |
| Views | 8 |
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% |
200
21.4 IPS |
|
|
Image Classification (F16)
|
100% |
565
60.5 IPS |
|
|
Image Classification (I8)
|
80% |
443
47.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
358
2.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
496
3.06 IPS |
|
|
Image Segmentation (I8)
|
89% |
896
5.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
568
2.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
291
1.18 IPS |
|
|
Object Detection (F32)
|
100% |
298
10.4 IPS |
|
|
Object Detection (F16)
|
99% |
489
17.2 IPS |
|
|
Object Detection (I8)
|
53% |
320
11.2 IPS |
|
|
Face Detection (F32)
|
25% |
521
5.99 IPS |
|
|
Face Detection (F16)
|
25% |
739
8.49 IPS |
|
|
Face Detection (I8)
|
75% |
568
6.53 IPS |
|
|
Text Classification (F32)
|
100% |
168
66.6 IPS |
|
|
Text Classification (F16)
|
100% |
164
65.0 IPS |
|
|
Machine Translation (F32)
|
100% |
192
29.6 IPS |
|
|
Machine Translation (F16)
|
100% |
193
29.8 IPS |
