samsung SM-M166P
Geekbench ML Score
288
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 07 2025 06:48 PM |
| 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% |
180
19.3 IPS |
|
|
Image Classification (F16)
|
100% |
398
42.7 IPS |
|
|
Image Classification (I8)
|
80% |
318
34.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
337
2.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
470
2.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
740
4.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
242
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
553
2.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
254
1.03 IPS |
|
|
Object Detection (F32)
|
100% |
274
9.63 IPS |
|
|
Object Detection (F16)
|
99% |
417
14.6 IPS |
|
|
Object Detection (I8)
|
53% |
239
8.37 IPS |
|
|
Face Detection (F32)
|
25% |
458
5.27 IPS |
|
|
Face Detection (F16)
|
25% |
641
7.37 IPS |
|
|
Face Detection (I8)
|
75% |
444
5.10 IPS |
|
|
Text Classification (F32)
|
100% |
81
32.0 IPS |
|
|
Text Classification (F16)
|
100% |
71
27.9 IPS |
|
|
Machine Translation (F32)
|
100% |
164
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
186
28.6 IPS |
