Samsung Galaxy S6
Geekbench ML Score
65
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | December 25 2025 05:59 AM |
| Views | 8 |
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% |
53
5.64 IPS |
|
|
Image Classification (F16)
|
100% |
53
5.68 IPS |
|
|
Image Classification (I8)
|
81% |
75
8.07 IPS |
|
|
Image Segmentation (F32)
|
100% |
95
0.59 IPS |
|
|
Image Segmentation (F16)
|
100% |
95
0.58 IPS |
|
|
Image Segmentation (I8)
|
89% |
246
1.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
33
0.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
33
0.13 IPS |
|
|
Pose Estimation (I8)
|
80% |
61
0.25 IPS |
|
|
Object Detection (F32)
|
100% |
75
2.64 IPS |
|
|
Object Detection (F16)
|
100% |
75
2.65 IPS |
|
|
Object Detection (I8)
|
52% |
106
3.70 IPS |
|
|
Face Detection (F32)
|
100% |
111
1.28 IPS |
|
|
Face Detection (F16)
|
100% |
111
1.28 IPS |
|
|
Face Detection (I8)
|
75% |
174
2.00 IPS |
|
|
Text Classification (F32)
|
100% |
60
23.6 IPS |
|
|
Text Classification (F16)
|
100% |
60
23.9 IPS |
|
|
Machine Translation (F32)
|
100% |
15
2.37 IPS |
|
|
Machine Translation (F16)
|
100% |
15
2.32 IPS |
