samsung SM-M166P
Geekbench ML Score
196
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 23 2025 05:48 PM |
| Views | 5 |
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 | 3.36 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
91
9.73 IPS |
|
|
Image Classification (F16)
|
100% |
88
9.39 IPS |
|
|
Image Classification (I8)
|
81% |
124
13.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
331
2.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
330
2.04 IPS |
|
|
Image Segmentation (I8)
|
89% |
498
3.08 IPS |
|
|
Pose Estimation (F32)
|
100% |
131
0.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
122
0.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
144
5.04 IPS |
|
|
Object Detection (F16)
|
100% |
143
5.03 IPS |
|
|
Object Detection (I8)
|
52% |
208
7.29 IPS |
|
|
Face Detection (F32)
|
100% |
299
3.44 IPS |
|
|
Face Detection (F16)
|
100% |
289
3.32 IPS |
|
|
Face Detection (I8)
|
75% |
307
3.53 IPS |
|
|
Text Classification (F32)
|
100% |
275
108.9 IPS |
|
|
Text Classification (F16)
|
100% |
262
103.7 IPS |
|
|
Machine Translation (F32)
|
100% |
197
30.4 IPS |
|
|
Machine Translation (F16)
|
100% |
209
32.2 IPS |
