samsung SM-G780G
Geekbench ML Score
831
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | March 28 2024 05:27 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 | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
769
82.4 IPS |
|
|
Image Classification (F16)
|
100% |
1281
137.2 IPS |
|
|
Image Classification (I8)
|
80% |
1359
145.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1202
7.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
1544
9.54 IPS |
|
|
Image Segmentation (I8)
|
89% |
3310
20.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
410
1.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
1586
6.42 IPS |
|
|
Pose Estimation (I8)
|
80% |
5519
22.3 IPS |
|
|
Object Detection (F32)
|
100% |
721
25.3 IPS |
|
|
Object Detection (F16)
|
100% |
725
25.5 IPS |
|
|
Object Detection (I8)
|
52% |
1429
50.1 IPS |
|
|
Face Detection (F32)
|
100% |
1240
14.2 IPS |
|
|
Face Detection (F16)
|
97% |
1370
15.7 IPS |
|
|
Face Detection (I8)
|
75% |
4357
50.1 IPS |
|
|
Text Classification (F32)
|
54% |
26
10.3 IPS |
|
|
Text Classification (F16)
|
54% |
23
9.11 IPS |
|
|
Machine Translation (F32)
|
100% |
551
84.9 IPS |
|
|
Machine Translation (F16)
|
100% |
564
86.9 IPS |
