samsung SM-A166P
Geekbench ML Score
217
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 27 2024 03:42 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% |
96
10.3 IPS |
|
|
Image Classification (F16)
|
100% |
89
9.59 IPS |
|
|
Image Classification (I8)
|
81% |
151
16.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
359
2.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
360
2.23 IPS |
|
|
Image Segmentation (I8)
|
89% |
580
3.58 IPS |
|
|
Pose Estimation (F32)
|
100% |
142
0.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
140
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
152
0.61 IPS |
|
|
Object Detection (F32)
|
100% |
164
5.76 IPS |
|
|
Object Detection (F16)
|
100% |
161
5.65 IPS |
|
|
Object Detection (I8)
|
52% |
240
8.43 IPS |
|
|
Face Detection (F32)
|
100% |
313
3.60 IPS |
|
|
Face Detection (F16)
|
100% |
310
3.56 IPS |
|
|
Face Detection (I8)
|
75% |
387
4.45 IPS |
|
|
Text Classification (F32)
|
100% |
291
115.1 IPS |
|
|
Text Classification (F16)
|
100% |
293
116.0 IPS |
|
|
Machine Translation (F32)
|
100% |
195
30.1 IPS |
|
|
Machine Translation (F16)
|
100% |
217
33.4 IPS |
