samsung SM-A166P
Geekbench ML Score
413
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 17 2024 05:04 AM |
| Views | 2 |
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 | 7.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
249
26.7 IPS |
|
|
Image Classification (F16)
|
100% |
454
48.6 IPS |
|
|
Image Classification (I8)
|
80% |
438
46.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
507
3.13 IPS |
|
|
Image Segmentation (F16)
|
100% |
968
5.98 IPS |
|
|
Image Segmentation (I8)
|
89% |
936
5.78 IPS |
|
|
Pose Estimation (F32)
|
100% |
186
0.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
419
1.70 IPS |
|
|
Pose Estimation (I8)
|
80% |
404
1.63 IPS |
|
|
Object Detection (F32)
|
100% |
234
8.23 IPS |
|
|
Object Detection (F16)
|
100% |
372
13.0 IPS |
|
|
Object Detection (I8)
|
54% |
413
14.5 IPS |
|
|
Face Detection (F32)
|
100% |
606
6.96 IPS |
|
|
Face Detection (F16)
|
97% |
1136
13.1 IPS |
|
|
Face Detection (I8)
|
75% |
1033
11.9 IPS |
|
|
Text Classification (F32)
|
100% |
218
86.2 IPS |
|
|
Text Classification (F16)
|
98% |
300
118.8 IPS |
|
|
Machine Translation (F32)
|
100% |
209
32.2 IPS |
|
|
Machine Translation (F16)
|
100% |
211
32.6 IPS |
