samsung SM-M166P
Geekbench ML Score
302
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 20 2024 12:40 AM |
| Views | 4 |
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 | 3.36 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
192
20.5 IPS |
|
|
Image Classification (F16)
|
100% |
545
58.4 IPS |
|
|
Image Classification (I8)
|
80% |
352
37.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
327
2.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
438
2.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
755
4.66 IPS |
|
|
Pose Estimation (F32)
|
100% |
242
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
540
2.19 IPS |
|
|
Pose Estimation (I8)
|
80% |
230
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
271
9.51 IPS |
|
|
Object Detection (F16)
|
99% |
439
15.4 IPS |
|
|
Object Detection (I8)
|
53% |
238
8.36 IPS |
|
|
Face Detection (F32)
|
25% |
462
5.31 IPS |
|
|
Face Detection (F16)
|
25% |
659
7.57 IPS |
|
|
Face Detection (I8)
|
75% |
458
5.26 IPS |
|
|
Text Classification (F32)
|
100% |
114
45.1 IPS |
|
|
Text Classification (F16)
|
100% |
107
42.5 IPS |
|
|
Machine Translation (F32)
|
100% |
155
23.9 IPS |
|
|
Machine Translation (F16)
|
100% |
152
23.4 IPS |
