samsung SM-M166P
Geekbench ML Score
163
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2025 12:41 AM |
| Views | 5 |
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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
85
9.09 IPS |
|
|
Image Classification (F16)
|
100% |
84
9.03 IPS |
|
|
Image Classification (I8)
|
81% |
120
12.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
302
1.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
256
1.58 IPS |
|
|
Image Segmentation (I8)
|
89% |
468
2.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
73
0.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
70
0.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
95
0.39 IPS |
|
|
Object Detection (F32)
|
100% |
134
4.72 IPS |
|
|
Object Detection (F16)
|
100% |
131
4.60 IPS |
|
|
Object Detection (I8)
|
52% |
180
6.31 IPS |
|
|
Face Detection (F32)
|
100% |
226
2.60 IPS |
|
|
Face Detection (F16)
|
100% |
199
2.29 IPS |
|
|
Face Detection (I8)
|
75% |
261
2.99 IPS |
|
|
Text Classification (F32)
|
100% |
229
90.7 IPS |
|
|
Text Classification (F16)
|
100% |
242
95.5 IPS |
|
|
Machine Translation (F32)
|
100% |
194
29.8 IPS |
|
|
Machine Translation (F16)
|
100% |
198
30.5 IPS |
