samsung SM-A528B
Geekbench ML Score
859
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2022 03:47 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-A528B |
| Model ID | samsung SM-A528B |
| Motherboard | lahaina |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.16 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
646
69.2 IPS |
|
|
Image Classification (F16)
|
100% |
1029
110.3 IPS |
|
|
Image Classification (I8)
|
80% |
985
105.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1389
8.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
2387
14.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
2415
14.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
614
2.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
1182
4.78 IPS |
|
|
Pose Estimation (I8)
|
80% |
1182
4.78 IPS |
|
|
Object Detection (F32)
|
100% |
398
14.0 IPS |
|
|
Object Detection (F16)
|
99% |
481
16.9 IPS |
|
|
Object Detection (I8)
|
53% |
508
17.8 IPS |
|
|
Face Detection (F32)
|
100% |
1131
13.0 IPS |
|
|
Face Detection (F16)
|
97% |
2088
24.0 IPS |
|
|
Face Detection (I8)
|
75% |
1824
21.0 IPS |
|
|
Text Classification (F32)
|
100% |
430
170.2 IPS |
|
|
Text Classification (F16)
|
98% |
534
211.1 IPS |
|
|
Machine Translation (F32)
|
100% |
359
55.3 IPS |
|
|
Machine Translation (F16)
|
100% |
360
55.4 IPS |
