samsung SM-A166P
Geekbench ML Score
173
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 02 2024 08:18 PM |
| Views | 3 |
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 | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
80
8.59 IPS |
|
|
Image Classification (F16)
|
100% |
80
8.60 IPS |
|
|
Image Classification (I8)
|
81% |
109
11.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
271
1.67 IPS |
|
|
Image Segmentation (F16)
|
100% |
274
1.70 IPS |
|
|
Image Segmentation (I8)
|
89% |
439
2.71 IPS |
|
|
Pose Estimation (F32)
|
100% |
118
0.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
122
0.49 IPS |
|
|
Pose Estimation (I8)
|
80% |
131
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
129
4.54 IPS |
|
|
Object Detection (F16)
|
100% |
127
4.47 IPS |
|
|
Object Detection (I8)
|
52% |
200
7.02 IPS |
|
|
Face Detection (F32)
|
100% |
224
2.58 IPS |
|
|
Face Detection (F16)
|
100% |
221
2.54 IPS |
|
|
Face Detection (I8)
|
75% |
272
3.13 IPS |
|
|
Text Classification (F32)
|
100% |
205
81.0 IPS |
|
|
Text Classification (F16)
|
100% |
212
83.7 IPS |
|
|
Machine Translation (F32)
|
100% |
213
32.9 IPS |
|
|
Machine Translation (F16)
|
100% |
207
31.9 IPS |
