samsung SM-G780G
Geekbench ML Score
1393
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 28 2024 05:33 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | samsung SM-G780G |
| Model ID | samsung SM-G780G |
| 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 | 5.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
988
105.8 IPS |
|
|
Image Classification (F16)
|
100% |
1514
162.2 IPS |
|
|
Image Classification (I8)
|
80% |
1611
172.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2568
15.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
4163
25.7 IPS |
|
|
Image Segmentation (I8)
|
89% |
4327
26.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1212
4.90 IPS |
|
|
Pose Estimation (F16)
|
100% |
2096
8.48 IPS |
|
|
Pose Estimation (I8)
|
80% |
2078
8.41 IPS |
|
|
Object Detection (F32)
|
100% |
772
27.1 IPS |
|
|
Object Detection (F16)
|
99% |
774
27.2 IPS |
|
|
Object Detection (I8)
|
53% |
981
34.4 IPS |
|
|
Face Detection (F32)
|
100% |
1920
22.1 IPS |
|
|
Face Detection (F16)
|
97% |
2959
34.0 IPS |
|
|
Face Detection (I8)
|
76% |
2688
30.9 IPS |
|
|
Text Classification (F32)
|
100% |
598
236.4 IPS |
|
|
Text Classification (F16)
|
98% |
561
221.8 IPS |
|
|
Machine Translation (F32)
|
100% |
556
85.7 IPS |
|
|
Machine Translation (F16)
|
100% |
553
85.2 IPS |
