Samsung Galaxy S6
Geekbench ML Score
61
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | May 31 2023 03:50 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 9 |
| Model | Samsung Galaxy S6 |
| Model ID | samsung SM-G920F |
| Motherboard | universal7420 |
| 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 | CPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
50
5.33 IPS |
|
|
Image Classification (F16)
|
100% |
46
4.95 IPS |
|
|
Image Classification (I8)
|
81% |
141
15.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
64
0.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
63
0.39 IPS |
|
|
Image Segmentation (I8)
|
89% |
320
1.98 IPS |
|
|
Pose Estimation (F32)
|
100% |
40
0.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
42
0.17 IPS |
|
|
Pose Estimation (I8)
|
80% |
62
0.25 IPS |
|
|
Object Detection (F32)
|
100% |
61
2.14 IPS |
|
|
Object Detection (F16)
|
100% |
62
2.16 IPS |
|
|
Object Detection (I8)
|
52% |
131
4.61 IPS |
|
|
Face Detection (F32)
|
100% |
79
0.91 IPS |
|
|
Face Detection (F16)
|
100% |
79
0.91 IPS |
|
|
Face Detection (I8)
|
75% |
251
2.88 IPS |
|
|
Text Classification (F32)
|
100% |
30
12.0 IPS |
|
|
Text Classification (F16)
|
100% |
30
11.8 IPS |
|
|
Machine Translation (F32)
|
100% |
16
2.43 IPS |
|
|
Machine Translation (F16)
|
100% |
18
2.77 IPS |
