samsung SM-G970F
Geekbench ML Score
237
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 14 2022 11:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | samsung SM-G970F |
| Model ID | samsung SM-G970F |
| Motherboard | exynos9820 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 83 architecture 8 variant 1 part 3 revision 0 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 2 Cores @ 2.31 GHz |
| Cluster 3 | 2 Cores @ 2.73 GHz |
| Memory Information | |
|---|---|
| Size | 5.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
143
15.3 IPS |
|
|
Image Classification (F16)
|
100% |
117
12.5 IPS |
|
|
Image Classification (I8)
|
81% |
153
16.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
332
2.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
307
1.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
610
3.77 IPS |
|
|
Pose Estimation (F32)
|
100% |
169
0.69 IPS |
|
|
Pose Estimation (F16)
|
100% |
160
0.65 IPS |
|
|
Pose Estimation (I8)
|
80% |
189
0.76 IPS |
|
|
Object Detection (F32)
|
100% |
182
6.39 IPS |
|
|
Object Detection (F16)
|
100% |
131
4.58 IPS |
|
|
Object Detection (I8)
|
52% |
228
7.99 IPS |
|
|
Face Detection (F32)
|
100% |
257
2.95 IPS |
|
|
Face Detection (F16)
|
100% |
257
2.96 IPS |
|
|
Face Detection (I8)
|
75% |
384
4.41 IPS |
|
|
Text Classification (F32)
|
100% |
214
84.8 IPS |
|
|
Text Classification (F16)
|
100% |
188
74.3 IPS |
|
|
Machine Translation (F32)
|
100% |
549
84.5 IPS |
|
|
Machine Translation (F16)
|
100% |
549
84.6 IPS |
