samsung SM-M166P
Geekbench ML Score
201
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 09 2025 06:35 PM |
| Views | 4 |
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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
91
9.72 IPS |
|
|
Image Classification (F16)
|
100% |
91
9.78 IPS |
|
|
Image Classification (I8)
|
81% |
134
14.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
350
2.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
349
2.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
510
3.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
128
0.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
128
0.52 IPS |
|
|
Pose Estimation (I8)
|
80% |
145
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
151
5.30 IPS |
|
|
Object Detection (F16)
|
100% |
154
5.40 IPS |
|
|
Object Detection (I8)
|
52% |
210
7.37 IPS |
|
|
Face Detection (F32)
|
100% |
300
3.45 IPS |
|
|
Face Detection (F16)
|
100% |
298
3.42 IPS |
|
|
Face Detection (I8)
|
75% |
314
3.60 IPS |
|
|
Text Classification (F32)
|
100% |
260
102.7 IPS |
|
|
Text Classification (F16)
|
100% |
259
102.6 IPS |
|
|
Machine Translation (F32)
|
100% |
199
30.6 IPS |
|
|
Machine Translation (F16)
|
100% |
201
31.0 IPS |
