samsung SM-M166P
Geekbench ML Score
361
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 22 2025 02:58 PM |
| Views | 5 |
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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
202
21.6 IPS |
|
|
Image Classification (F16)
|
100% |
565
60.6 IPS |
|
|
Image Classification (I8)
|
80% |
443
47.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
364
2.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
496
3.06 IPS |
|
|
Image Segmentation (I8)
|
89% |
919
5.68 IPS |
|
|
Pose Estimation (F32)
|
100% |
253
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
572
2.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
298
1.21 IPS |
|
|
Object Detection (F32)
|
100% |
296
10.4 IPS |
|
|
Object Detection (F16)
|
99% |
494
17.3 IPS |
|
|
Object Detection (I8)
|
53% |
333
11.7 IPS |
|
|
Face Detection (F32)
|
25% |
528
6.06 IPS |
|
|
Face Detection (F16)
|
25% |
742
8.53 IPS |
|
|
Face Detection (I8)
|
75% |
570
6.55 IPS |
|
|
Text Classification (F32)
|
100% |
168
66.5 IPS |
|
|
Text Classification (F16)
|
100% |
164
64.9 IPS |
|
|
Machine Translation (F32)
|
100% |
187
28.9 IPS |
|
|
Machine Translation (F16)
|
100% |
198
30.5 IPS |
