samsung SM-M166P
Geekbench ML Score
304
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2025 12:49 AM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
198
21.2 IPS |
|
|
Image Classification (F16)
|
100% |
476
51.0 IPS |
|
|
Image Classification (I8)
|
80% |
277
29.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
285
1.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
374
2.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
608
3.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
566
2.29 IPS |
|
|
Pose Estimation (I8)
|
80% |
152
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
286
10.1 IPS |
|
|
Object Detection (F16)
|
99% |
461
16.2 IPS |
|
|
Object Detection (I8)
|
53% |
345
12.1 IPS |
|
|
Face Detection (F32)
|
25% |
518
5.95 IPS |
|
|
Face Detection (F16)
|
25% |
732
8.41 IPS |
|
|
Face Detection (I8)
|
75% |
365
4.19 IPS |
|
|
Text Classification (F32)
|
100% |
146
57.9 IPS |
|
|
Text Classification (F16)
|
100% |
135
53.6 IPS |
|
|
Machine Translation (F32)
|
100% |
186
28.7 IPS |
|
|
Machine Translation (F16)
|
100% |
179
27.6 IPS |
