samsung SM-A166P
Geekbench ML Score
481
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | February 12 2025 12:19 AM |
| Views | 3 |
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 | 7.27 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
321
34.4 IPS |
|
|
Image Classification (F16)
|
100% |
582
62.4 IPS |
|
|
Image Classification (I8)
|
80% |
540
57.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
647
4.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
1203
7.43 IPS |
|
|
Image Segmentation (I8)
|
89% |
1197
7.39 IPS |
|
|
Pose Estimation (F32)
|
100% |
229
0.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
551
2.23 IPS |
|
|
Pose Estimation (I8)
|
80% |
520
2.11 IPS |
|
|
Object Detection (F32)
|
100% |
289
10.1 IPS |
|
|
Object Detection (F16)
|
100% |
436
15.3 IPS |
|
|
Object Detection (I8)
|
54% |
458
16.1 IPS |
|
|
Face Detection (F32)
|
100% |
674
7.74 IPS |
|
|
Face Detection (F16)
|
97% |
1297
14.9 IPS |
|
|
Face Detection (I8)
|
75% |
1169
13.4 IPS |
|
|
Text Classification (F32)
|
100% |
204
80.7 IPS |
|
|
Text Classification (F16)
|
98% |
325
128.6 IPS |
|
|
Machine Translation (F32)
|
100% |
202
31.2 IPS |
|
|
Machine Translation (F16)
|
100% |
192
29.5 IPS |
