Samsung Galaxy A30s
Geekbench ML Score
266
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2022 05:24 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy A30s |
| Model ID | samsung SM-A307FN |
| Motherboard | exynos7904 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.59 GHz |
| Cluster 1 | 6 Cores @ 1.59 GHz |
| Cluster 2 | 2 Cores @ 1.77 GHz |
| Memory Information | |
|---|---|
| Size | 3.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
158
16.9 IPS |
|
|
Image Classification (F16)
|
100% |
323
34.6 IPS |
|
|
Image Classification (I8)
|
81% |
299
32.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
285
1.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
728
4.49 IPS |
|
|
Image Segmentation (I8)
|
89% |
699
4.32 IPS |
|
|
Pose Estimation (F32)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (F16)
|
0% |
285
1.15 IPS |
|
|
Pose Estimation (I8)
|
0% |
285
1.15 IPS |
|
|
Object Detection (F32)
|
100% |
149
5.23 IPS |
|
|
Object Detection (F16)
|
99% |
245
8.61 IPS |
|
|
Object Detection (I8)
|
54% |
241
8.44 IPS |
|
|
Face Detection (F32)
|
100% |
298
3.43 IPS |
|
|
Face Detection (F16)
|
97% |
670
7.70 IPS |
|
|
Face Detection (I8)
|
75% |
587
6.74 IPS |
|
|
Text Classification (F32)
|
100% |
250
98.7 IPS |
|
|
Text Classification (F16)
|
46% |
375
148.5 IPS |
|
|
Machine Translation (F32)
|
100% |
89
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
90
13.9 IPS |
