samsung SM-M166P
Geekbench ML Score
205
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 15 2025 01:10 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 3.39 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
96
10.3 IPS |
|
|
Image Classification (F16)
|
100% |
90
9.69 IPS |
|
|
Image Classification (I8)
|
81% |
132
14.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
352
2.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
348
2.15 IPS |
|
|
Image Segmentation (I8)
|
89% |
545
3.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
135
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
136
0.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
136
0.55 IPS |
|
|
Object Detection (F32)
|
100% |
148
5.21 IPS |
|
|
Object Detection (F16)
|
100% |
152
5.32 IPS |
|
|
Object Detection (I8)
|
52% |
213
7.47 IPS |
|
|
Face Detection (F32)
|
100% |
296
3.40 IPS |
|
|
Face Detection (F16)
|
100% |
302
3.46 IPS |
|
|
Face Detection (I8)
|
75% |
336
3.86 IPS |
|
|
Text Classification (F32)
|
100% |
277
109.7 IPS |
|
|
Text Classification (F16)
|
100% |
277
109.5 IPS |
|
|
Machine Translation (F32)
|
100% |
208
32.1 IPS |
|
|
Machine Translation (F16)
|
100% |
204
31.5 IPS |
