samsung SM-M166P
Geekbench ML Score
363
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 01 2025 03:00 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
196
21.0 IPS |
|
|
Image Classification (F16)
|
100% |
552
59.1 IPS |
|
|
Image Classification (I8)
|
80% |
544
58.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
386
2.38 IPS |
|
|
Image Segmentation (F16)
|
100% |
474
2.93 IPS |
|
|
Image Segmentation (I8)
|
89% |
787
4.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
554
2.24 IPS |
|
|
Pose Estimation (I8)
|
80% |
271
1.10 IPS |
|
|
Object Detection (F32)
|
100% |
299
10.5 IPS |
|
|
Object Detection (F16)
|
99% |
487
17.1 IPS |
|
|
Object Detection (I8)
|
53% |
390
13.7 IPS |
|
|
Face Detection (F32)
|
25% |
529
6.08 IPS |
|
|
Face Detection (F16)
|
25% |
742
8.52 IPS |
|
|
Face Detection (I8)
|
75% |
668
7.67 IPS |
|
|
Text Classification (F32)
|
100% |
186
73.5 IPS |
|
|
Text Classification (F16)
|
100% |
126
49.7 IPS |
|
|
Machine Translation (F32)
|
100% |
200
30.8 IPS |
|
|
Machine Translation (F16)
|
100% |
199
30.6 IPS |
