samsung SM-M166P
Geekbench ML Score
447
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 03 2025 06:25 PM |
| Views | 2 |
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 | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
305
32.7 IPS |
|
|
Image Classification (F16)
|
100% |
517
55.4 IPS |
|
|
Image Classification (I8)
|
80% |
486
52.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
631
3.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
1161
7.17 IPS |
|
|
Image Segmentation (I8)
|
89% |
1223
7.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
243
0.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
526
2.13 IPS |
|
|
Pose Estimation (I8)
|
80% |
514
2.08 IPS |
|
|
Object Detection (F32)
|
100% |
259
9.07 IPS |
|
|
Object Detection (F16)
|
100% |
392
13.7 IPS |
|
|
Object Detection (I8)
|
54% |
386
13.6 IPS |
|
|
Face Detection (F32)
|
100% |
623
7.15 IPS |
|
|
Face Detection (F16)
|
97% |
1106
12.7 IPS |
|
|
Face Detection (I8)
|
75% |
1035
11.9 IPS |
|
|
Text Classification (F32)
|
100% |
198
78.3 IPS |
|
|
Text Classification (F16)
|
98% |
284
112.5 IPS |
|
|
Machine Translation (F32)
|
100% |
178
27.4 IPS |
|
|
Machine Translation (F16)
|
100% |
182
28.1 IPS |
