samsung SM-G780G
Geekbench ML Score
335
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 16 2022 05:57 AM |
| 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% |
377
40.4 IPS |
|
|
Image Classification (F16)
|
100% |
281
30.2 IPS |
|
|
Image Classification (I8)
|
81% |
195
20.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
454
2.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
476
2.94 IPS |
|
|
Image Segmentation (I8)
|
89% |
668
4.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
213
0.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
216
0.87 IPS |
|
|
Pose Estimation (I8)
|
80% |
179
0.73 IPS |
|
|
Object Detection (F32)
|
100% |
325
11.4 IPS |
|
|
Object Detection (F16)
|
100% |
320
11.2 IPS |
|
|
Object Detection (I8)
|
52% |
288
10.1 IPS |
|
|
Face Detection (F32)
|
100% |
489
5.62 IPS |
|
|
Face Detection (F16)
|
100% |
501
5.76 IPS |
|
|
Face Detection (I8)
|
75% |
462
5.31 IPS |
|
|
Text Classification (F32)
|
100% |
285
112.8 IPS |
|
|
Text Classification (F16)
|
100% |
288
113.7 IPS |
|
|
Machine Translation (F32)
|
100% |
365
56.2 IPS |
|
|
Machine Translation (F16)
|
100% |
383
59.0 IPS |
