samsung SM-G780G
Geekbench ML Score
1356
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 10 2023 08:47 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% |
1041
111.6 IPS |
|
|
Image Classification (F16)
|
100% |
1548
165.9 IPS |
|
|
Image Classification (I8)
|
80% |
1357
145.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2494
15.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
4674
28.9 IPS |
|
|
Image Segmentation (I8)
|
89% |
4113
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1220
4.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
2118
8.57 IPS |
|
|
Pose Estimation (I8)
|
80% |
2084
8.43 IPS |
|
|
Object Detection (F32)
|
100% |
694
24.3 IPS |
|
|
Object Detection (F16)
|
99% |
860
30.2 IPS |
|
|
Object Detection (I8)
|
53% |
869
30.5 IPS |
|
|
Face Detection (F32)
|
100% |
1888
21.7 IPS |
|
|
Face Detection (F16)
|
97% |
3149
36.2 IPS |
|
|
Face Detection (I8)
|
76% |
2822
32.4 IPS |
|
|
Text Classification (F32)
|
100% |
581
229.9 IPS |
|
|
Text Classification (F16)
|
98% |
601
237.9 IPS |
|
|
Machine Translation (F32)
|
100% |
433
66.8 IPS |
|
|
Machine Translation (F16)
|
100% |
441
68.0 IPS |
