samsung SM-M166P
Geekbench ML Score
226
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 04:01 PM |
| Views | 5 |
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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
115
12.3 IPS |
|
|
Image Classification (F16)
|
100% |
100
10.7 IPS |
|
|
Image Classification (I8)
|
81% |
158
17.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
367
2.26 IPS |
|
|
Image Segmentation (F16)
|
100% |
372
2.30 IPS |
|
|
Image Segmentation (I8)
|
89% |
606
3.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
144
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
145
0.59 IPS |
|
|
Pose Estimation (I8)
|
80% |
154
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
174
6.09 IPS |
|
|
Object Detection (F16)
|
100% |
173
6.06 IPS |
|
|
Object Detection (I8)
|
52% |
254
8.91 IPS |
|
|
Face Detection (F32)
|
100% |
327
3.76 IPS |
|
|
Face Detection (F16)
|
100% |
330
3.79 IPS |
|
|
Face Detection (I8)
|
75% |
389
4.47 IPS |
|
|
Text Classification (F32)
|
100% |
283
111.9 IPS |
|
|
Text Classification (F16)
|
100% |
288
113.9 IPS |
|
|
Machine Translation (F32)
|
100% |
207
31.9 IPS |
|
|
Machine Translation (F16)
|
100% |
213
32.9 IPS |
