samsung SM-A166P
Geekbench ML Score
332
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 02 2024 08:25 PM |
| Views | 4 |
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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
194
20.8 IPS |
|
|
Image Classification (F16)
|
100% |
561
60.1 IPS |
|
|
Image Classification (I8)
|
80% |
367
39.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
356
2.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
498
3.08 IPS |
|
|
Image Segmentation (I8)
|
89% |
812
5.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
248
1.00 IPS |
|
|
Pose Estimation (F16)
|
100% |
555
2.25 IPS |
|
|
Pose Estimation (I8)
|
80% |
244
0.99 IPS |
|
|
Object Detection (F32)
|
100% |
288
10.1 IPS |
|
|
Object Detection (F16)
|
99% |
479
16.8 IPS |
|
|
Object Detection (I8)
|
53% |
266
9.32 IPS |
|
|
Face Detection (F32)
|
25% |
493
5.66 IPS |
|
|
Face Detection (F16)
|
25% |
711
8.17 IPS |
|
|
Face Detection (I8)
|
75% |
471
5.41 IPS |
|
|
Text Classification (F32)
|
100% |
135
53.5 IPS |
|
|
Text Classification (F16)
|
100% |
125
49.4 IPS |
|
|
Machine Translation (F32)
|
100% |
204
31.5 IPS |
|
|
Machine Translation (F16)
|
100% |
200
30.8 IPS |
