samsung SM-G980F
Geekbench ML Score
108
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 13 2023 10:43 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-G980F |
| Model ID | samsung SM-G980F |
| Motherboard | exynos7885 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.69 GHz |
| Cluster 1 | 6 Cores @ 1.69 GHz |
| Cluster 2 | 2 Cores @ 2.18 GHz |
| Memory Information | |
|---|---|
| Size | 3.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
52
5.54 IPS |
|
|
Image Classification (F16)
|
100% |
50
5.33 IPS |
|
|
Image Classification (I8)
|
81% |
138
14.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
134
0.83 IPS |
|
|
Image Segmentation (F16)
|
100% |
136
0.84 IPS |
|
|
Image Segmentation (I8)
|
89% |
385
2.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
68
0.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
67
0.27 IPS |
|
|
Pose Estimation (I8)
|
80% |
106
0.43 IPS |
|
|
Object Detection (F32)
|
100% |
75
2.64 IPS |
|
|
Object Detection (F16)
|
100% |
76
2.67 IPS |
|
|
Object Detection (I8)
|
52% |
196
6.88 IPS |
|
|
Face Detection (F32)
|
100% |
116
1.34 IPS |
|
|
Face Detection (F16)
|
100% |
115
1.33 IPS |
|
|
Face Detection (I8)
|
75% |
259
2.98 IPS |
|
|
Text Classification (F32)
|
100% |
104
40.9 IPS |
|
|
Text Classification (F16)
|
100% |
102
40.2 IPS |
|
|
Machine Translation (F32)
|
100% |
93
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
94
14.4 IPS |
