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 02 2024 04:59 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% |
99
10.7 IPS |
|
|
Image Classification (F16)
|
100% |
88
9.43 IPS |
|
|
Image Classification (I8)
|
81% |
167
17.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
358
2.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
360
2.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
585
3.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
143
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
140
0.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
153
0.62 IPS |
|
|
Object Detection (F32)
|
100% |
161
5.65 IPS |
|
|
Object Detection (F16)
|
100% |
160
5.60 IPS |
|
|
Object Detection (I8)
|
52% |
247
8.66 IPS |
|
|
Face Detection (F32)
|
100% |
310
3.56 IPS |
|
|
Face Detection (F16)
|
100% |
315
3.62 IPS |
|
|
Face Detection (I8)
|
75% |
375
4.30 IPS |
|
|
Text Classification (F32)
|
100% |
287
113.3 IPS |
|
|
Text Classification (F16)
|
100% |
291
115.2 IPS |
|
|
Machine Translation (F32)
|
100% |
206
31.7 IPS |
|
|
Machine Translation (F16)
|
100% |
196
30.3 IPS |
