samsung SM-A166P
Geekbench ML Score
350
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 02 2024 06:58 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
196
21.0 IPS |
|
|
Image Classification (F16)
|
100% |
560
60.0 IPS |
|
|
Image Classification (I8)
|
80% |
378
40.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
391
2.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
502
3.10 IPS |
|
|
Image Segmentation (I8)
|
89% |
801
4.95 IPS |
|
|
Pose Estimation (F32)
|
100% |
248
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
559
2.26 IPS |
|
|
Pose Estimation (I8)
|
80% |
250
1.01 IPS |
|
|
Object Detection (F32)
|
100% |
296
10.4 IPS |
|
|
Object Detection (F16)
|
99% |
488
17.1 IPS |
|
|
Object Detection (I8)
|
53% |
471
16.5 IPS |
|
|
Face Detection (F32)
|
25% |
535
6.15 IPS |
|
|
Face Detection (F16)
|
25% |
703
8.08 IPS |
|
|
Face Detection (I8)
|
75% |
629
7.22 IPS |
|
|
Text Classification (F32)
|
100% |
129
50.8 IPS |
|
|
Text Classification (F16)
|
100% |
119
47.2 IPS |
|
|
Machine Translation (F32)
|
100% |
201
31.0 IPS |
|
|
Machine Translation (F16)
|
100% |
204
31.4 IPS |
