Samsung Galaxy S6
Geekbench ML Score
132
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | November 24 2025 08:34 AM |
| Views | 9 |
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% |
58
6.27 IPS |
|
|
Image Classification (F16)
|
100% |
59
6.27 IPS |
|
|
Image Classification (I8)
|
81% |
152
16.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
221
1.36 IPS |
|
|
Image Segmentation (F16)
|
100% |
218
1.35 IPS |
|
|
Image Segmentation (I8)
|
89% |
551
3.40 IPS |
|
|
Pose Estimation (F32)
|
100% |
80
0.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
75
0.30 IPS |
|
|
Pose Estimation (I8)
|
80% |
129
0.52 IPS |
|
|
Object Detection (F32)
|
100% |
97
3.42 IPS |
|
|
Object Detection (F16)
|
100% |
98
3.44 IPS |
|
|
Object Detection (I8)
|
52% |
212
7.45 IPS |
|
|
Face Detection (F32)
|
100% |
146
1.67 IPS |
|
|
Face Detection (F16)
|
100% |
144
1.66 IPS |
|
|
Face Detection (I8)
|
75% |
312
3.59 IPS |
|
|
Text Classification (F32)
|
100% |
154
60.8 IPS |
|
|
Text Classification (F16)
|
100% |
156
61.7 IPS |
|
|
Machine Translation (F32)
|
100% |
78
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
76
11.8 IPS |
