samsung SM-A528B
Geekbench ML Score
341
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 26 2022 03:44 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
402
43.1 IPS |
|
|
Image Classification (F16)
|
100% |
330
35.3 IPS |
|
|
Image Classification (I8)
|
81% |
195
20.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
556
3.43 IPS |
|
|
Image Segmentation (F16)
|
100% |
547
3.38 IPS |
|
|
Image Segmentation (I8)
|
89% |
785
4.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
236
0.95 IPS |
|
|
Pose Estimation (F16)
|
100% |
236
0.95 IPS |
|
|
Pose Estimation (I8)
|
80% |
199
0.80 IPS |
|
|
Object Detection (F32)
|
100% |
277
9.71 IPS |
|
|
Object Detection (F16)
|
100% |
274
9.63 IPS |
|
|
Object Detection (I8)
|
52% |
253
8.88 IPS |
|
|
Face Detection (F32)
|
100% |
452
5.20 IPS |
|
|
Face Detection (F16)
|
100% |
449
5.16 IPS |
|
|
Face Detection (I8)
|
75% |
441
5.07 IPS |
|
|
Text Classification (F32)
|
100% |
292
115.7 IPS |
|
|
Text Classification (F16)
|
100% |
293
115.7 IPS |
|
|
Machine Translation (F32)
|
100% |
365
56.2 IPS |
|
|
Machine Translation (F16)
|
100% |
362
55.9 IPS |
