Samsung Galaxy S6
Geekbench ML Score
106
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | June 15 2021 02:52 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 11 |
| Model | Samsung Galaxy S6 |
| Model ID | samsung SM-G920F |
| Motherboard | universal7420 |
| Governor | interactive |
| CPU Information | |
|---|---|
| Name | ARM SAMSUNG |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 variant 1 part 3335 revision 0 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores @ 1.50 GHz |
| Cluster 2 | 4 Cores @ 2.10 GHz |
| Memory Information | |
|---|---|
| Size | 2.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
156
16.7 IPS |
|
|
Image Classification (F16)
|
100% |
215
23.0 IPS |
|
|
Image Classification (I8)
|
80% |
208
22.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
146
0.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
146
0.90 IPS |
|
|
Image Segmentation (I8)
|
89% |
371
2.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
26
0.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
24
0.10 IPS |
|
|
Pose Estimation (I8)
|
80% |
24
0.10 IPS |
|
|
Object Detection (F32)
|
100% |
107
3.75 IPS |
|
|
Object Detection (F16)
|
100% |
131
4.58 IPS |
|
|
Object Detection (I8)
|
56% |
127
4.45 IPS |
|
|
Face Detection (F32)
|
100% |
129
1.48 IPS |
|
|
Face Detection (F16)
|
100% |
129
1.48 IPS |
|
|
Face Detection (I8)
|
75% |
321
3.69 IPS |
|
|
Text Classification (F32)
|
100% |
120
47.4 IPS |
|
|
Text Classification (F16)
|
100% |
120
47.6 IPS |
|
|
Machine Translation (F32)
|
100% |
57
8.72 IPS |
|
|
Machine Translation (F16)
|
100% |
56
8.57 IPS |
