samsung SM-M166P
Geekbench ML Score
270
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 21 2025 04:56 PM |
| 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 | 7.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
181
19.4 IPS |
|
|
Image Classification (F16)
|
100% |
375
40.2 IPS |
|
|
Image Classification (I8)
|
80% |
291
31.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
309
1.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
396
2.45 IPS |
|
|
Image Segmentation (I8)
|
89% |
659
4.07 IPS |
|
|
Pose Estimation (F32)
|
100% |
247
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
556
2.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
225
0.91 IPS |
|
|
Object Detection (F32)
|
100% |
260
9.12 IPS |
|
|
Object Detection (F16)
|
99% |
399
14.0 IPS |
|
|
Object Detection (I8)
|
53% |
216
7.56 IPS |
|
|
Face Detection (F32)
|
25% |
463
5.32 IPS |
|
|
Face Detection (F16)
|
25% |
613
7.04 IPS |
|
|
Face Detection (I8)
|
75% |
399
4.58 IPS |
|
|
Text Classification (F32)
|
100% |
78
30.9 IPS |
|
|
Text Classification (F16)
|
100% |
69
27.3 IPS |
|
|
Machine Translation (F32)
|
100% |
153
23.6 IPS |
|
|
Machine Translation (F16)
|
100% |
157
24.3 IPS |
