samsung SM-M166P
Geekbench ML Score
199
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 20 2025 11:24 AM |
| Views | 8 |
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% |
94
10.0 IPS |
|
|
Image Classification (F16)
|
100% |
92
9.88 IPS |
|
|
Image Classification (I8)
|
81% |
138
14.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
340
2.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
334
2.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
509
3.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
132
0.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
125
0.50 IPS |
|
|
Pose Estimation (I8)
|
80% |
133
0.54 IPS |
|
|
Object Detection (F32)
|
100% |
147
5.14 IPS |
|
|
Object Detection (F16)
|
100% |
144
5.04 IPS |
|
|
Object Detection (I8)
|
52% |
209
7.34 IPS |
|
|
Face Detection (F32)
|
100% |
288
3.31 IPS |
|
|
Face Detection (F16)
|
100% |
290
3.33 IPS |
|
|
Face Detection (I8)
|
75% |
307
3.53 IPS |
|
|
Text Classification (F32)
|
100% |
257
101.6 IPS |
|
|
Text Classification (F16)
|
100% |
270
106.8 IPS |
|
|
Machine Translation (F32)
|
100% |
210
32.3 IPS |
|
|
Machine Translation (F16)
|
100% |
200
30.8 IPS |
