samsung SM-M166P
Geekbench ML Score
268
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 21 2025 07:03 PM |
| Views | 3 |
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 | 7.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
184
19.8 IPS |
|
|
Image Classification (F16)
|
100% |
380
40.7 IPS |
|
|
Image Classification (I8)
|
80% |
291
31.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
307
1.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
399
2.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
639
3.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
246
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
556
2.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
211
0.86 IPS |
|
|
Object Detection (F32)
|
100% |
272
9.55 IPS |
|
|
Object Detection (F16)
|
99% |
401
14.1 IPS |
|
|
Object Detection (I8)
|
53% |
213
7.49 IPS |
|
|
Face Detection (F32)
|
25% |
460
5.28 IPS |
|
|
Face Detection (F16)
|
25% |
616
7.07 IPS |
|
|
Face Detection (I8)
|
75% |
400
4.60 IPS |
|
|
Text Classification (F32)
|
100% |
77
30.6 IPS |
|
|
Text Classification (F16)
|
100% |
68
27.1 IPS |
|
|
Machine Translation (F32)
|
100% |
150
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
153
23.6 IPS |
