samsung SM-A166P
Geekbench ML Score
207
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | October 09 2024 09:00 PM |
| Views | 1 |
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 | 7.30 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
90
9.68 IPS |
|
|
Image Classification (F16)
|
100% |
85
9.10 IPS |
|
|
Image Classification (I8)
|
81% |
155
16.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
333
2.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
334
2.07 IPS |
|
|
Image Segmentation (I8)
|
89% |
565
3.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
136
0.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
140
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
146
0.59 IPS |
|
|
Object Detection (F32)
|
100% |
159
5.57 IPS |
|
|
Object Detection (F16)
|
100% |
145
5.08 IPS |
|
|
Object Detection (I8)
|
52% |
232
8.13 IPS |
|
|
Face Detection (F32)
|
100% |
293
3.37 IPS |
|
|
Face Detection (F16)
|
100% |
280
3.21 IPS |
|
|
Face Detection (I8)
|
75% |
330
3.80 IPS |
|
|
Text Classification (F32)
|
100% |
280
110.7 IPS |
|
|
Text Classification (F16)
|
100% |
281
111.2 IPS |
|
|
Machine Translation (F32)
|
100% |
207
31.9 IPS |
|
|
Machine Translation (F16)
|
100% |
209
32.2 IPS |
