samsung SM-A166P
Geekbench ML Score
201
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 28 2024 11:36 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 | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
91
9.73 IPS |
|
|
Image Classification (F16)
|
100% |
88
9.48 IPS |
|
|
Image Classification (I8)
|
81% |
137
14.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
331
2.04 IPS |
|
|
Image Segmentation (F16)
|
100% |
347
2.14 IPS |
|
|
Image Segmentation (I8)
|
89% |
518
3.20 IPS |
|
|
Pose Estimation (F32)
|
100% |
134
0.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
133
0.54 IPS |
|
|
Pose Estimation (I8)
|
80% |
130
0.53 IPS |
|
|
Object Detection (F32)
|
100% |
152
5.34 IPS |
|
|
Object Detection (F16)
|
100% |
144
5.06 IPS |
|
|
Object Detection (I8)
|
52% |
202
7.10 IPS |
|
|
Face Detection (F32)
|
100% |
300
3.44 IPS |
|
|
Face Detection (F16)
|
100% |
288
3.31 IPS |
|
|
Face Detection (I8)
|
75% |
301
3.46 IPS |
|
|
Text Classification (F32)
|
100% |
316
125.2 IPS |
|
|
Text Classification (F16)
|
100% |
264
104.6 IPS |
|
|
Machine Translation (F32)
|
100% |
197
30.3 IPS |
|
|
Machine Translation (F16)
|
100% |
212
32.6 IPS |
