samsung SM-G780G
Geekbench ML Score
420
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2022 10:38 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| 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 | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
437
46.9 IPS |
|
|
Image Classification (F16)
|
100% |
436
46.7 IPS |
|
|
Image Classification (I8)
|
81% |
208
22.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
609
3.76 IPS |
|
|
Image Segmentation (F16)
|
100% |
612
3.78 IPS |
|
|
Image Segmentation (I8)
|
89% |
874
5.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
266
1.08 IPS |
|
|
Pose Estimation (F16)
|
100% |
273
1.10 IPS |
|
|
Pose Estimation (I8)
|
80% |
240
0.97 IPS |
|
|
Object Detection (F32)
|
100% |
358
12.6 IPS |
|
|
Object Detection (F16)
|
100% |
360
12.6 IPS |
|
|
Object Detection (I8)
|
52% |
302
10.6 IPS |
|
|
Face Detection (F32)
|
100% |
581
6.67 IPS |
|
|
Face Detection (F16)
|
100% |
563
6.47 IPS |
|
|
Face Detection (I8)
|
75% |
538
6.18 IPS |
|
|
Text Classification (F32)
|
100% |
395
156.1 IPS |
|
|
Text Classification (F16)
|
100% |
394
155.8 IPS |
|
|
Machine Translation (F32)
|
100% |
555
85.6 IPS |
|
|
Machine Translation (F16)
|
100% |
544
83.8 IPS |
