samsung SM-A166P
Geekbench ML Score
456
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2024 02:12 AM |
| Views | 3 |
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 | 5.31 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
311
33.3 IPS |
|
|
Image Classification (F16)
|
100% |
542
58.1 IPS |
|
|
Image Classification (I8)
|
80% |
528
56.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
640
3.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
1183
7.31 IPS |
|
|
Image Segmentation (I8)
|
89% |
1175
7.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
228
0.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
520
2.10 IPS |
|
|
Pose Estimation (I8)
|
80% |
537
2.17 IPS |
|
|
Object Detection (F32)
|
100% |
267
9.36 IPS |
|
|
Object Detection (F16)
|
100% |
410
14.4 IPS |
|
|
Object Detection (I8)
|
54% |
407
14.3 IPS |
|
|
Face Detection (F32)
|
100% |
638
7.33 IPS |
|
|
Face Detection (F16)
|
97% |
1189
13.7 IPS |
|
|
Face Detection (I8)
|
75% |
1074
12.3 IPS |
|
|
Text Classification (F32)
|
100% |
203
80.3 IPS |
|
|
Text Classification (F16)
|
98% |
321
126.9 IPS |
|
|
Machine Translation (F32)
|
100% |
166
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
169
26.0 IPS |
