samsung SM-A166P
Geekbench ML Score
213
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 17 2024 06:25 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-A166P |
| Model ID | samsung SM-A166P |
| Motherboard | a16xm |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
94
10.1 IPS |
|
|
Image Classification (F16)
|
100% |
89
9.53 IPS |
|
|
Image Classification (I8)
|
81% |
152
16.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
352
2.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
357
2.20 IPS |
|
|
Image Segmentation (I8)
|
89% |
568
3.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
134
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
136
0.55 IPS |
|
|
Pose Estimation (I8)
|
80% |
146
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
157
5.50 IPS |
|
|
Object Detection (F16)
|
100% |
163
5.71 IPS |
|
|
Object Detection (I8)
|
52% |
237
8.33 IPS |
|
|
Face Detection (F32)
|
100% |
314
3.61 IPS |
|
|
Face Detection (F16)
|
100% |
321
3.68 IPS |
|
|
Face Detection (I8)
|
75% |
364
4.18 IPS |
|
|
Text Classification (F32)
|
100% |
287
113.5 IPS |
|
|
Text Classification (F16)
|
100% |
279
110.3 IPS |
|
|
Machine Translation (F32)
|
100% |
212
32.6 IPS |
|
|
Machine Translation (F16)
|
100% |
202
31.2 IPS |
