samsung SM-M166P
Geekbench ML Score
408
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 10 2025 01:36 AM |
| 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 | 3.39 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
197
21.1 IPS |
|
|
Image Classification (F16)
|
100% |
576
61.7 IPS |
|
|
Image Classification (I8)
|
80% |
669
71.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
384
2.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
547
3.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
1178
7.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
567
2.29 IPS |
|
|
Pose Estimation (I8)
|
80% |
390
1.58 IPS |
|
|
Object Detection (F32)
|
100% |
308
10.8 IPS |
|
|
Object Detection (F16)
|
99% |
544
19.1 IPS |
|
|
Object Detection (I8)
|
53% |
443
15.5 IPS |
|
|
Face Detection (F32)
|
25% |
528
6.06 IPS |
|
|
Face Detection (F16)
|
25% |
748
8.60 IPS |
|
|
Face Detection (I8)
|
75% |
729
8.37 IPS |
|
|
Text Classification (F32)
|
100% |
206
81.4 IPS |
|
|
Text Classification (F16)
|
100% |
216
85.3 IPS |
|
|
Machine Translation (F32)
|
100% |
201
31.0 IPS |
|
|
Machine Translation (F16)
|
100% |
202
31.2 IPS |
