Samsung Galaxy S6
Geekbench ML Score
132
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 26 2024 03:29 AM |
| Views | 2 |
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% |
56
5.99 IPS |
|
|
Image Classification (F16)
|
100% |
56
5.99 IPS |
|
|
Image Classification (I8)
|
81% |
156
16.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
252
1.56 IPS |
|
|
Image Segmentation (F16)
|
100% |
252
1.56 IPS |
|
|
Image Segmentation (I8)
|
89% |
560
3.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
90
0.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
79
0.32 IPS |
|
|
Pose Estimation (I8)
|
80% |
143
0.58 IPS |
|
|
Object Detection (F32)
|
100% |
88
3.09 IPS |
|
|
Object Detection (F16)
|
100% |
90
3.15 IPS |
|
|
Object Detection (I8)
|
52% |
196
6.87 IPS |
|
|
Face Detection (F32)
|
100% |
136
1.56 IPS |
|
|
Face Detection (F16)
|
100% |
135
1.55 IPS |
|
|
Face Detection (I8)
|
75% |
321
3.69 IPS |
|
|
Text Classification (F32)
|
100% |
159
62.8 IPS |
|
|
Text Classification (F16)
|
100% |
159
63.0 IPS |
|
|
Machine Translation (F32)
|
100% |
73
11.2 IPS |
|
|
Machine Translation (F16)
|
100% |
72
11.1 IPS |
