Samsung Galaxy S6
Geekbench ML Score
110
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | September 04 2024 03:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 10 |
| 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 0 part 3331 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 2.64 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
50
5.31 IPS |
|
|
Image Classification (F16)
|
100% |
50
5.37 IPS |
|
|
Image Classification (I8)
|
81% |
132
14.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
142
0.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
145
0.89 IPS |
|
|
Image Segmentation (I8)
|
89% |
380
2.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
79
0.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
80
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
125
0.50 IPS |
|
|
Object Detection (F32)
|
100% |
80
2.80 IPS |
|
|
Object Detection (F16)
|
100% |
80
2.80 IPS |
|
|
Object Detection (I8)
|
52% |
168
5.91 IPS |
|
|
Face Detection (F32)
|
100% |
120
1.38 IPS |
|
|
Face Detection (F16)
|
100% |
121
1.39 IPS |
|
|
Face Detection (I8)
|
75% |
281
3.23 IPS |
|
|
Text Classification (F32)
|
100% |
123
48.7 IPS |
|
|
Text Classification (F16)
|
100% |
120
47.4 IPS |
|
|
Machine Translation (F32)
|
100% |
70
10.8 IPS |
|
|
Machine Translation (F16)
|
100% |
70
10.7 IPS |
