samsung SM-A166P
Geekbench ML Score
150
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 01:59 AM |
| 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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
93
9.97 IPS |
|
|
Image Classification (F16)
|
100% |
91
9.80 IPS |
|
|
Image Classification (I8)
|
81% |
100
10.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
228
1.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
222
1.37 IPS |
|
|
Image Segmentation (I8)
|
89% |
395
2.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
70
0.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
67
0.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
94
0.38 IPS |
|
|
Object Detection (F32)
|
100% |
128
4.50 IPS |
|
|
Object Detection (F16)
|
100% |
130
4.56 IPS |
|
|
Object Detection (I8)
|
52% |
164
5.77 IPS |
|
|
Face Detection (F32)
|
100% |
201
2.31 IPS |
|
|
Face Detection (F16)
|
100% |
188
2.16 IPS |
|
|
Face Detection (I8)
|
75% |
219
2.51 IPS |
|
|
Text Classification (F32)
|
100% |
197
77.8 IPS |
|
|
Text Classification (F16)
|
100% |
211
83.5 IPS |
|
|
Machine Translation (F32)
|
100% |
181
27.9 IPS |
|
|
Machine Translation (F16)
|
100% |
178
27.5 IPS |
