samsung SM-M166P
Geekbench ML Score
277
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 09:47 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 | 6.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
182
19.5 IPS |
|
|
Image Classification (F16)
|
100% |
390
41.8 IPS |
|
|
Image Classification (I8)
|
80% |
290
31.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
331
2.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
447
2.76 IPS |
|
|
Image Segmentation (I8)
|
89% |
706
4.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
245
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
549
2.22 IPS |
|
|
Pose Estimation (I8)
|
80% |
235
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
263
9.24 IPS |
|
|
Object Detection (F16)
|
99% |
412
14.5 IPS |
|
|
Object Detection (I8)
|
53% |
218
7.67 IPS |
|
|
Face Detection (F32)
|
25% |
458
5.26 IPS |
|
|
Face Detection (F16)
|
25% |
627
7.21 IPS |
|
|
Face Detection (I8)
|
75% |
417
4.79 IPS |
|
|
Text Classification (F32)
|
100% |
79
31.1 IPS |
|
|
Text Classification (F16)
|
100% |
65
25.9 IPS |
|
|
Machine Translation (F32)
|
100% |
157
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
165
25.5 IPS |
