samsung SM-A166P
Geekbench ML Score
408
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 10 2024 03:04 AM |
| 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 | 3.36 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
198
21.2 IPS |
|
|
Image Classification (F16)
|
100% |
594
63.7 IPS |
|
|
Image Classification (I8)
|
80% |
670
71.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
383
2.37 IPS |
|
|
Image Segmentation (F16)
|
100% |
544
3.36 IPS |
|
|
Image Segmentation (I8)
|
89% |
1204
7.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
249
1.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
567
2.29 IPS |
|
|
Pose Estimation (I8)
|
80% |
338
1.37 IPS |
|
|
Object Detection (F32)
|
100% |
310
10.9 IPS |
|
|
Object Detection (F16)
|
99% |
542
19.0 IPS |
|
|
Object Detection (I8)
|
53% |
447
15.7 IPS |
|
|
Face Detection (F32)
|
25% |
538
6.18 IPS |
|
|
Face Detection (F16)
|
25% |
749
8.60 IPS |
|
|
Face Detection (I8)
|
75% |
769
8.84 IPS |
|
|
Text Classification (F32)
|
100% |
203
80.4 IPS |
|
|
Text Classification (F16)
|
100% |
207
81.8 IPS |
|
|
Machine Translation (F32)
|
100% |
207
31.9 IPS |
|
|
Machine Translation (F16)
|
100% |
211
32.6 IPS |
