samsung SM-M166P
Geekbench ML Score
341
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 20 2024 12:38 AM |
| 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 | 3.36 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
191
20.5 IPS |
|
|
Image Classification (F16)
|
100% |
557
59.7 IPS |
|
|
Image Classification (I8)
|
80% |
389
41.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
368
2.28 IPS |
|
|
Image Segmentation (F16)
|
100% |
516
3.19 IPS |
|
|
Image Segmentation (I8)
|
89% |
825
5.10 IPS |
|
|
Pose Estimation (F32)
|
100% |
246
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
562
2.28 IPS |
|
|
Pose Estimation (I8)
|
80% |
265
1.07 IPS |
|
|
Object Detection (F32)
|
100% |
300
10.5 IPS |
|
|
Object Detection (F16)
|
99% |
493
17.3 IPS |
|
|
Object Detection (I8)
|
53% |
293
10.3 IPS |
|
|
Face Detection (F32)
|
25% |
490
5.63 IPS |
|
|
Face Detection (F16)
|
25% |
695
7.99 IPS |
|
|
Face Detection (I8)
|
75% |
501
5.75 IPS |
|
|
Text Classification (F32)
|
100% |
139
54.9 IPS |
|
|
Text Classification (F16)
|
100% |
133
52.4 IPS |
|
|
Machine Translation (F32)
|
100% |
209
32.2 IPS |
|
|
Machine Translation (F16)
|
100% |
200
30.8 IPS |
