Samsung Galaxy A80
Geekbench ML Score
521
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 02:24 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy A80 |
| Model ID | samsung SM-A805F |
| Motherboard | sm6150 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
333
35.6 IPS |
|
|
Image Classification (F16)
|
100% |
638
68.4 IPS |
|
|
Image Classification (I8)
|
80% |
560
60.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
752
4.65 IPS |
|
|
Image Segmentation (F16)
|
100% |
1451
8.96 IPS |
|
|
Image Segmentation (I8)
|
89% |
1331
8.22 IPS |
|
|
Pose Estimation (F32)
|
100% |
356
1.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
664
2.69 IPS |
|
|
Pose Estimation (I8)
|
80% |
662
2.68 IPS |
|
|
Object Detection (F32)
|
100% |
259
9.09 IPS |
|
|
Object Detection (F16)
|
99% |
486
17.0 IPS |
|
|
Object Detection (I8)
|
53% |
340
11.9 IPS |
|
|
Face Detection (F32)
|
100% |
684
7.86 IPS |
|
|
Face Detection (F16)
|
97% |
1208
13.9 IPS |
|
|
Face Detection (I8)
|
76% |
1063
12.2 IPS |
|
|
Text Classification (F32)
|
100% |
292
115.6 IPS |
|
|
Text Classification (F16)
|
98% |
341
134.7 IPS |
|
|
Machine Translation (F32)
|
100% |
203
31.3 IPS |
|
|
Machine Translation (F16)
|
100% |
204
31.4 IPS |
