samsung SM-G973F
Geekbench ML Score
198
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | July 22 2021 09:44 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | samsung SM-G973F |
| Model ID | samsung SM-G973F |
| 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 | 7.25 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
108
11.5 IPS |
|
|
Image Classification (F16)
|
100% |
103
11.0 IPS |
|
|
Image Classification (I8)
|
81% |
138
14.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
261
1.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
241
1.49 IPS |
|
|
Image Segmentation (I8)
|
89% |
516
3.18 IPS |
|
|
Pose Estimation (F32)
|
100% |
139
0.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
145
0.58 IPS |
|
|
Pose Estimation (I8)
|
80% |
169
0.68 IPS |
|
|
Object Detection (F32)
|
100% |
123
4.33 IPS |
|
|
Object Detection (F16)
|
100% |
125
4.40 IPS |
|
|
Object Detection (I8)
|
52% |
189
6.63 IPS |
|
|
Face Detection (F32)
|
100% |
216
2.48 IPS |
|
|
Face Detection (F16)
|
100% |
221
2.54 IPS |
|
|
Face Detection (I8)
|
75% |
327
3.76 IPS |
|
|
Text Classification (F32)
|
100% |
200
78.9 IPS |
|
|
Text Classification (F16)
|
100% |
201
79.3 IPS |
|
|
Machine Translation (F32)
|
100% |
376
58.0 IPS |
|
|
Machine Translation (F16)
|
100% |
374
57.7 IPS |
