samsung SM-G7810
Geekbench ML Score
745
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 26 2024 05:46 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-G7810 |
| Model ID | samsung SM-G7810 |
| Motherboard | kona |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
627
67.2 IPS |
|
|
Image Classification (F16)
|
100% |
1014
108.6 IPS |
|
|
Image Classification (I8)
|
80% |
1200
128.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
954
5.89 IPS |
|
|
Image Segmentation (F16)
|
100% |
1308
8.08 IPS |
|
|
Image Segmentation (I8)
|
89% |
3065
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
407
1.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
1511
6.11 IPS |
|
|
Pose Estimation (I8)
|
80% |
5352
21.7 IPS |
|
|
Object Detection (F32)
|
100% |
763
26.8 IPS |
|
|
Object Detection (F16)
|
100% |
1185
41.6 IPS |
|
|
Object Detection (I8)
|
52% |
2221
77.9 IPS |
|
|
Face Detection (F32)
|
100% |
948
10.9 IPS |
|
|
Face Detection (F16)
|
97% |
1181
13.6 IPS |
|
|
Face Detection (I8)
|
75% |
3995
45.9 IPS |
|
|
Text Classification (F32)
|
54% |
12
4.72 IPS |
|
|
Text Classification (F16)
|
54% |
12
4.58 IPS |
|
|
Machine Translation (F32)
|
100% |
542
83.6 IPS |
|
|
Machine Translation (F16)
|
100% |
559
86.2 IPS |
