samsung SM-A528B
Geekbench ML Score
765
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 08 2022 02:13 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 5.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
581
62.3 IPS |
|
|
Image Classification (F16)
|
100% |
860
92.1 IPS |
|
|
Image Classification (I8)
|
80% |
720
77.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1319
8.15 IPS |
|
|
Image Segmentation (F16)
|
100% |
2230
13.8 IPS |
|
|
Image Segmentation (I8)
|
89% |
1993
12.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
612
2.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
1172
4.74 IPS |
|
|
Pose Estimation (I8)
|
80% |
1161
4.70 IPS |
|
|
Object Detection (F32)
|
100% |
345
12.1 IPS |
|
|
Object Detection (F16)
|
99% |
490
17.2 IPS |
|
|
Object Detection (I8)
|
53% |
485
17.0 IPS |
|
|
Face Detection (F32)
|
100% |
1048
12.0 IPS |
|
|
Face Detection (F16)
|
97% |
1782
20.5 IPS |
|
|
Face Detection (I8)
|
75% |
1489
17.1 IPS |
|
|
Text Classification (F32)
|
100% |
313
123.8 IPS |
|
|
Text Classification (F16)
|
98% |
367
145.1 IPS |
|
|
Machine Translation (F32)
|
100% |
369
56.9 IPS |
|
|
Machine Translation (F16)
|
100% |
372
57.3 IPS |
