samsung SM-M166P
Geekbench ML Score
357
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 23 2024 01:15 PM |
| 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 | 6.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
190
20.4 IPS |
|
|
Image Classification (F16)
|
100% |
516
55.3 IPS |
|
|
Image Classification (I8)
|
80% |
516
55.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
372
2.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
528
3.26 IPS |
|
|
Image Segmentation (I8)
|
89% |
1079
6.67 IPS |
|
|
Pose Estimation (F32)
|
100% |
251
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
554
2.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
274
1.11 IPS |
|
|
Object Detection (F32)
|
100% |
280
9.81 IPS |
|
|
Object Detection (F16)
|
99% |
501
17.6 IPS |
|
|
Object Detection (I8)
|
53% |
359
12.6 IPS |
|
|
Face Detection (F32)
|
25% |
481
5.53 IPS |
|
|
Face Detection (F16)
|
25% |
710
8.16 IPS |
|
|
Face Detection (I8)
|
75% |
686
7.89 IPS |
|
|
Text Classification (F32)
|
100% |
134
53.1 IPS |
|
|
Text Classification (F16)
|
100% |
123
48.6 IPS |
|
|
Machine Translation (F32)
|
100% |
203
31.3 IPS |
|
|
Machine Translation (F16)
|
100% |
205
31.6 IPS |
