samsung SM-M166P
Geekbench ML Score
362
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 11:21 AM |
| Views | 5 |
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 | 6.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
194
20.8 IPS |
|
|
Image Classification (F16)
|
100% |
506
54.2 IPS |
|
|
Image Classification (I8)
|
80% |
504
54.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
369
2.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
510
3.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
1044
6.45 IPS |
|
|
Pose Estimation (F32)
|
100% |
251
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
560
2.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
362
1.46 IPS |
|
|
Object Detection (F32)
|
100% |
289
10.2 IPS |
|
|
Object Detection (F16)
|
99% |
500
17.6 IPS |
|
|
Object Detection (I8)
|
53% |
360
12.6 IPS |
|
|
Face Detection (F32)
|
25% |
500
5.75 IPS |
|
|
Face Detection (F16)
|
25% |
702
8.06 IPS |
|
|
Face Detection (I8)
|
75% |
643
7.39 IPS |
|
|
Text Classification (F32)
|
100% |
140
55.3 IPS |
|
|
Text Classification (F16)
|
100% |
126
49.6 IPS |
|
|
Machine Translation (F32)
|
100% |
200
30.9 IPS |
|
|
Machine Translation (F16)
|
100% |
206
31.8 IPS |
