samsung SM-M166P
Geekbench ML Score
353
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 21 2025 11:45 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 | 7.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
193
20.6 IPS |
|
|
Image Classification (F16)
|
100% |
509
54.5 IPS |
|
|
Image Classification (I8)
|
80% |
772
82.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
355
2.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
474
2.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
1014
6.26 IPS |
|
|
Pose Estimation (F32)
|
100% |
253
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
563
2.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
327
1.32 IPS |
|
|
Object Detection (F32)
|
100% |
289
10.1 IPS |
|
|
Object Detection (F16)
|
99% |
471
16.5 IPS |
|
|
Object Detection (I8)
|
53% |
334
11.7 IPS |
|
|
Face Detection (F32)
|
25% |
499
5.74 IPS |
|
|
Face Detection (F16)
|
25% |
693
7.96 IPS |
|
|
Face Detection (I8)
|
75% |
600
6.89 IPS |
|
|
Text Classification (F32)
|
100% |
118
46.5 IPS |
|
|
Text Classification (F16)
|
100% |
99
39.3 IPS |
|
|
Machine Translation (F32)
|
100% |
203
31.4 IPS |
|
|
Machine Translation (F16)
|
100% |
200
30.8 IPS |
