samsung SM-M166P
Geekbench ML Score
173
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 18 2025 02:39 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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
82
8.78 IPS |
|
|
Image Classification (F16)
|
100% |
82
8.78 IPS |
|
|
Image Classification (I8)
|
81% |
98
10.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
280
1.73 IPS |
|
|
Image Segmentation (F16)
|
100% |
276
1.71 IPS |
|
|
Image Segmentation (I8)
|
89% |
527
3.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
138
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
118
0.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
125
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
127
4.46 IPS |
|
|
Object Detection (F16)
|
100% |
126
4.43 IPS |
|
|
Object Detection (I8)
|
52% |
164
5.74 IPS |
|
|
Face Detection (F32)
|
100% |
270
3.10 IPS |
|
|
Face Detection (F16)
|
100% |
228
2.62 IPS |
|
|
Face Detection (I8)
|
75% |
254
2.92 IPS |
|
|
Text Classification (F32)
|
100% |
209
82.7 IPS |
|
|
Text Classification (F16)
|
100% |
207
81.9 IPS |
|
|
Machine Translation (F32)
|
100% |
197
30.4 IPS |
|
|
Machine Translation (F16)
|
100% |
189
29.2 IPS |
