samsung SM-A166P
Geekbench ML Score
475
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 04:56 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 | 3.38 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
326
34.9 IPS |
|
|
Image Classification (F16)
|
100% |
554
59.4 IPS |
|
|
Image Classification (I8)
|
80% |
524
56.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
648
4.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
1236
7.64 IPS |
|
|
Image Segmentation (I8)
|
89% |
1231
7.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
225
0.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
497
2.01 IPS |
|
|
Pose Estimation (I8)
|
80% |
533
2.16 IPS |
|
|
Object Detection (F32)
|
100% |
271
9.51 IPS |
|
|
Object Detection (F16)
|
100% |
465
16.3 IPS |
|
|
Object Detection (I8)
|
54% |
467
16.4 IPS |
|
|
Face Detection (F32)
|
100% |
626
7.19 IPS |
|
|
Face Detection (F16)
|
97% |
1145
13.2 IPS |
|
|
Face Detection (I8)
|
75% |
1060
12.2 IPS |
|
|
Text Classification (F32)
|
100% |
212
84.0 IPS |
|
|
Text Classification (F16)
|
98% |
302
119.4 IPS |
|
|
Machine Translation (F32)
|
100% |
211
32.6 IPS |
|
|
Machine Translation (F16)
|
100% |
218
33.6 IPS |
