samsung SM-M166P
Geekbench ML Score
336
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 03:51 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 3.39 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
187
20.0 IPS |
|
|
Image Classification (F16)
|
100% |
543
58.2 IPS |
|
|
Image Classification (I8)
|
80% |
335
35.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
348
2.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
522
3.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
753
4.65 IPS |
|
|
Pose Estimation (F32)
|
100% |
253
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
564
2.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
245
0.99 IPS |
|
|
Object Detection (F32)
|
100% |
276
9.68 IPS |
|
|
Object Detection (F16)
|
99% |
474
16.6 IPS |
|
|
Object Detection (I8)
|
53% |
252
8.84 IPS |
|
|
Face Detection (F32)
|
25% |
484
5.56 IPS |
|
|
Face Detection (F16)
|
25% |
698
8.02 IPS |
|
|
Face Detection (I8)
|
75% |
448
5.15 IPS |
|
|
Text Classification (F32)
|
100% |
180
71.3 IPS |
|
|
Text Classification (F16)
|
100% |
175
69.0 IPS |
|
|
Machine Translation (F32)
|
100% |
209
32.1 IPS |
|
|
Machine Translation (F16)
|
100% |
198
30.6 IPS |
