samsung SM-M166P
Geekbench ML Score
208
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 09:48 PM |
| Views | 2 |
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 | 3.36 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
92
9.84 IPS |
|
|
Image Classification (F16)
|
100% |
93
9.92 IPS |
|
|
Image Classification (I8)
|
81% |
145
15.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
325
2.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
338
2.09 IPS |
|
|
Image Segmentation (I8)
|
89% |
532
3.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
134
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
131
0.53 IPS |
|
|
Pose Estimation (I8)
|
80% |
144
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
158
5.55 IPS |
|
|
Object Detection (F16)
|
100% |
149
5.24 IPS |
|
|
Object Detection (I8)
|
52% |
277
9.71 IPS |
|
|
Face Detection (F32)
|
100% |
296
3.40 IPS |
|
|
Face Detection (F16)
|
100% |
300
3.45 IPS |
|
|
Face Detection (I8)
|
75% |
358
4.11 IPS |
|
|
Text Classification (F32)
|
100% |
273
108.1 IPS |
|
|
Text Classification (F16)
|
100% |
278
109.9 IPS |
|
|
Machine Translation (F32)
|
100% |
200
30.9 IPS |
|
|
Machine Translation (F16)
|
100% |
209
32.3 IPS |
