samsung SM-A166P
Geekbench ML Score
176
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 09 2025 01:18 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
99
10.6 IPS |
|
|
Image Classification (F16)
|
100% |
86
9.19 IPS |
|
|
Image Classification (I8)
|
81% |
108
11.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
340
2.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
328
2.03 IPS |
|
|
Image Segmentation (I8)
|
89% |
463
2.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
122
0.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
119
0.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
126
0.51 IPS |
|
|
Object Detection (F32)
|
100% |
129
4.54 IPS |
|
|
Object Detection (F16)
|
100% |
131
4.59 IPS |
|
|
Object Detection (I8)
|
52% |
161
5.66 IPS |
|
|
Face Detection (F32)
|
100% |
224
2.57 IPS |
|
|
Face Detection (F16)
|
100% |
225
2.59 IPS |
|
|
Face Detection (I8)
|
75% |
255
2.93 IPS |
|
|
Text Classification (F32)
|
100% |
205
81.0 IPS |
|
|
Text Classification (F16)
|
100% |
205
81.2 IPS |
|
|
Machine Translation (F32)
|
100% |
193
29.7 IPS |
|
|
Machine Translation (F16)
|
100% |
196
30.2 IPS |
