samsung SM-A166P
Geekbench ML Score
383
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 22 2024 01:35 AM |
| Views | 7 |
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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
199
21.3 IPS |
|
|
Image Classification (F16)
|
100% |
592
63.4 IPS |
|
|
Image Classification (I8)
|
80% |
506
54.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
380
2.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
522
3.22 IPS |
|
|
Image Segmentation (I8)
|
89% |
1017
6.28 IPS |
|
|
Pose Estimation (F32)
|
100% |
252
1.02 IPS |
|
|
Pose Estimation (F16)
|
100% |
570
2.31 IPS |
|
|
Pose Estimation (I8)
|
80% |
320
1.29 IPS |
|
|
Object Detection (F32)
|
100% |
301
10.6 IPS |
|
|
Object Detection (F16)
|
99% |
519
18.2 IPS |
|
|
Object Detection (I8)
|
53% |
327
11.5 IPS |
|
|
Face Detection (F32)
|
25% |
532
6.11 IPS |
|
|
Face Detection (F16)
|
25% |
755
8.68 IPS |
|
|
Face Detection (I8)
|
75% |
647
7.43 IPS |
|
|
Text Classification (F32)
|
100% |
170
67.3 IPS |
|
|
Text Classification (F16)
|
100% |
245
96.8 IPS |
|
|
Machine Translation (F32)
|
100% |
201
31.0 IPS |
|
|
Machine Translation (F16)
|
100% |
202
31.2 IPS |
