samsung SM-A166P
Geekbench ML Score
468
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 24 2025 06:09 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
315
33.7 IPS |
|
|
Image Classification (F16)
|
100% |
559
59.9 IPS |
|
|
Image Classification (I8)
|
80% |
528
56.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
638
3.94 IPS |
|
|
Image Segmentation (F16)
|
100% |
1188
7.34 IPS |
|
|
Image Segmentation (I8)
|
89% |
1234
7.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
227
0.92 IPS |
|
|
Pose Estimation (F16)
|
100% |
544
2.20 IPS |
|
|
Pose Estimation (I8)
|
80% |
542
2.19 IPS |
|
|
Object Detection (F32)
|
100% |
274
9.61 IPS |
|
|
Object Detection (F16)
|
100% |
409
14.3 IPS |
|
|
Object Detection (I8)
|
54% |
417
14.6 IPS |
|
|
Face Detection (F32)
|
100% |
640
7.35 IPS |
|
|
Face Detection (F16)
|
97% |
1203
13.8 IPS |
|
|
Face Detection (I8)
|
75% |
1112
12.8 IPS |
|
|
Text Classification (F32)
|
100% |
238
94.2 IPS |
|
|
Text Classification (F16)
|
98% |
320
126.5 IPS |
|
|
Machine Translation (F32)
|
100% |
181
27.9 IPS |
|
|
Machine Translation (F16)
|
100% |
174
26.7 IPS |
