samsung SM-A166P
Geekbench ML Score
409
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 20 2024 06:53 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 | 5.32 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
248
26.6 IPS |
|
|
Image Classification (F16)
|
100% |
453
48.5 IPS |
|
|
Image Classification (I8)
|
80% |
434
46.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
504
3.11 IPS |
|
|
Image Segmentation (F16)
|
100% |
940
5.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
929
5.74 IPS |
|
|
Pose Estimation (F32)
|
100% |
189
0.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
408
1.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
426
1.72 IPS |
|
|
Object Detection (F32)
|
100% |
234
8.21 IPS |
|
|
Object Detection (F16)
|
100% |
374
13.1 IPS |
|
|
Object Detection (I8)
|
54% |
376
13.2 IPS |
|
|
Face Detection (F32)
|
100% |
506
5.82 IPS |
|
|
Face Detection (F16)
|
97% |
974
11.2 IPS |
|
|
Face Detection (I8)
|
75% |
888
10.2 IPS |
|
|
Text Classification (F32)
|
100% |
337
133.3 IPS |
|
|
Text Classification (F16)
|
98% |
325
128.6 IPS |
|
|
Machine Translation (F32)
|
100% |
190
29.3 IPS |
|
|
Machine Translation (F16)
|
100% |
200
30.9 IPS |
