samsung SM-A146P
Geekbench ML Score
400
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 25 2025 12:59 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A146P |
| Model ID | samsung SM-A146P |
| Motherboard | a14xm |
| 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 @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.46 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
250
26.8 IPS |
|
|
Image Classification (F16)
|
100% |
492
52.7 IPS |
|
|
Image Classification (I8)
|
80% |
462
49.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
517
3.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
1064
6.57 IPS |
|
|
Image Segmentation (I8)
|
89% |
1026
6.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
245
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
494
2.00 IPS |
|
|
Pose Estimation (I8)
|
80% |
486
1.97 IPS |
|
|
Object Detection (F32)
|
100% |
193
6.76 IPS |
|
|
Object Detection (F16)
|
100% |
277
9.72 IPS |
|
|
Object Detection (I8)
|
54% |
319
11.2 IPS |
|
|
Face Detection (F32)
|
100% |
595
6.84 IPS |
|
|
Face Detection (F16)
|
97% |
1235
14.2 IPS |
|
|
Face Detection (I8)
|
75% |
1134
13.0 IPS |
|
|
Text Classification (F32)
|
100% |
218
86.0 IPS |
|
|
Text Classification (F16)
|
98% |
321
127.0 IPS |
|
|
Machine Translation (F32)
|
100% |
124
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
122
18.7 IPS |
