samsung SM-A146P
Geekbench ML Score
413
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 20 2025 09:27 AM |
| Views | 3 |
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% |
253
27.1 IPS |
|
|
Image Classification (F16)
|
100% |
503
53.9 IPS |
|
|
Image Classification (I8)
|
80% |
472
50.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
512
3.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
1101
6.80 IPS |
|
|
Image Segmentation (I8)
|
89% |
1113
6.88 IPS |
|
|
Pose Estimation (F32)
|
100% |
245
0.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
520
2.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
518
2.09 IPS |
|
|
Object Detection (F32)
|
100% |
196
6.87 IPS |
|
|
Object Detection (F16)
|
100% |
292
10.2 IPS |
|
|
Object Detection (I8)
|
54% |
313
11.0 IPS |
|
|
Face Detection (F32)
|
100% |
594
6.82 IPS |
|
|
Face Detection (F16)
|
97% |
1118
12.8 IPS |
|
|
Face Detection (I8)
|
75% |
1151
13.2 IPS |
|
|
Text Classification (F32)
|
100% |
305
120.6 IPS |
|
|
Text Classification (F16)
|
98% |
325
128.4 IPS |
|
|
Machine Translation (F32)
|
100% |
123
19.0 IPS |
|
|
Machine Translation (F16)
|
100% |
123
19.0 IPS |
