samsung SM-M166P
Geekbench ML Score
419
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 06:13 PM |
| Views | 1 |
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 | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
201
21.5 IPS |
|
|
Image Classification (F16)
|
100% |
614
65.8 IPS |
|
|
Image Classification (I8)
|
80% |
639
68.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
389
2.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
553
3.42 IPS |
|
|
Image Segmentation (I8)
|
89% |
1253
7.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
254
1.03 IPS |
|
|
Pose Estimation (F16)
|
100% |
571
2.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
390
1.58 IPS |
|
|
Object Detection (F32)
|
100% |
314
11.0 IPS |
|
|
Object Detection (F16)
|
99% |
550
19.3 IPS |
|
|
Object Detection (I8)
|
53% |
465
16.3 IPS |
|
|
Face Detection (F32)
|
25% |
528
6.07 IPS |
|
|
Face Detection (F16)
|
25% |
768
8.83 IPS |
|
|
Face Detection (I8)
|
75% |
763
8.77 IPS |
|
|
Text Classification (F32)
|
100% |
215
85.0 IPS |
|
|
Text Classification (F16)
|
100% |
226
89.4 IPS |
|
|
Machine Translation (F32)
|
100% |
217
33.4 IPS |
|
|
Machine Translation (F16)
|
100% |
213
32.8 IPS |
